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Machine learning 1-68(1), 70(1), 72 [1986-2009, PDF, ENG]
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Machine learning 1-68(1), 70(1), 72 [1986-2009, PDF, ENG] (Size: 517.03 MB)
| Volume 01 | |||
| #1 | |||
| 00 - Editorial. On Machine Learning.pdf | 331.51 KB | ||
| 01 - Chunking in Soar. The Anatomy of a General Learning Mechanism.pdf | 2.28 MB | ||
| 02 - Explanation-Based Generalization. A Unifying View.pdf | 2.06 MB | ||
| 03 - Induction of Decision Trees.pdf | 1.31 MB | ||
| 04 - A Theory of Historical Discovery. The Construction of Componential Models.pdf | 1.48 MB | ||
| #2 | |||
| 00 - Editorial. The Terminology of Machine Learning.pdf | 189.2 KB | ||
| 01 - Explanation-Based Learning. An Alternative View.pdf | 1.76 MB | ||
| 02 - A General Framework for Induction and a Study of Selective Induction.pdf | 2.56 MB | ||
| 03 - News and Notes.pdf | 854.2 KB | ||
| #3 | |||
| 00 - Editorial. Human and Machine Learning.pdf | 259.62 KB | ||
| 01 - Experimental Goal Regression. A Method for Learning Problem-Solving Heuristics.pdf | 1.37 MB | ||
| 02 - Learning at the Knowledge Level.pdf | 1.32 MB | ||
| 03 - Incremental Learning from Noisy Data.pdf | 1.69 MB | ||
| 04 - News and Notes.pdf | 178.21 KB | ||
| #4 | |||
| 00 - Editorial. Machine Learning and Discovery.pdf | 196.06 KB | ||
| 01 - Integrating Quantitative and Qualitative Discovery. The ABACUS System.pdf | 1.64 MB | ||
| 02 - Determining Arguments of Invariant Functional Descriptions.pdf | 950.71 KB | ||
| 03 - Chemical Discovery as Belief Revision.pdf | 1.28 MB | ||
| 04 - News and Notes.pdf | 68.18 KB | ||
| Volume 02 | |||
| #1 | |||
| 00 - Machine Learning and Grammar Induction.pdf | 202.76 KB | ||
| 01- Learning Syntax by Automata Induction.pdf | 1.17 MB | ||
| 02 - A Version Space Approach to Learning Context-free Grammars.pdf | 1.59 MB | ||
| 03 - News and Notes.pdf | 1.15 MB | ||
| #2 | |||
| 00 - Machine learning and concept formation.pdf | 179.77 KB | ||
| 01 - Experiments with incremental concept formation. UNIMEM.pdf | 1.37 MB | ||
| 02 - Knowledge acquisition via incremental conceptual clustering.pdf | 1.29 MB | ||
| 03 - A review of the fourth International Workshop on Machine Learning.pdf | 886.12 KB | ||
| 04 - News and notes.pdf | 84.33 KB | ||
| #3 | |||
| 00 - Research papers in machine learning.pdf | 184.89 KB | ||
| 01 - Classifier systems and the animat problem.pdf | 1.24 MB | ||
| 02 - Learning decision lists.pdf | 718.86 KB | ||
| 03 - Theory change via view application in instructionless learning.pdf | 1.41 MB | ||
| 04 - News and notes.pdf | 76.11 KB | ||
| 05 - Announcement.pdf | 29.31 KB | ||
| #4 | |||
| 00 - New theoretical directions in machine learning.pdf | 152.25 KB | ||
| 01 - Learning quickly when irrelevant attributes abound. A new linear-threshold algorithm.pdf | 1.35 MB | ||
| 02 - Queries and concept learning.pdf | 1017.25 KB | ||
| 03 - Learning from noisy examples.pdf | 1.08 MB | ||
| 04 - Criteria for polynomial-time (conceptual) clustering.pdf | 1.09 MB | ||
| 05 - News and notes.pdf | 96.18 KB | ||
| 06 - Announcing a new journal.pdf | 64.13 KB | ||
| Volume 03 | |||
| #1 | |||
| 00 - Machine learning as an experimental science.pdf | 202.15 KB | ||
| 01 - Learning to predict by the methods of temporal differences.pdf | 1.5 MB | ||
| 02 - Learning by failing to explain. Using partial explanations to learn in incomplete or intractable domains.pdf | 1.3 MB | ||
| 03 - A review of machine learning at AAAI-87.pdf | 651.46 KB | ||
| #2-3 | |||
| 00 - Genetic algorithms and Machine Learning.pdf | 226.42 KB | ||
| 01 - Genetic algorithms in noisy environments.pdf | 937.9 KB | ||
| 02 - Learning with genetic algorithms. An overview.pdf | 834.03 KB | ||
| 03 - A tale of two classifier systems.pdf | 910.13 KB | ||
| 04 - Classifier systems that learn internal world models.pdf | 1.38 MB | ||
| 05 - Learning and programming in classifier systems.pdf | 1.35 MB | ||
| 06 - Credit assignment in rule discovery systems based on genetic algorithms.pdf | 892.88 KB | ||
| 07 - News and notes.pdf | 107.37 KB | ||
| #4 | |||
| 00 - Toward a unified science of machine learning.pdf | 379.35 KB | ||
| 01 - The CN2 induction algorithm.pdf | 1.02 MB | ||
| 02 - A heuristic approach to the discovery of macro-operators.pdf | 1.35 MB | ||
| 03 - An empirical comparison of selection measures for decision-tree induction.pdf | 1008.47 KB | ||
| 04 - Conceptual clustering, categorization, and polymorphy.pdf | 1.35 MB | ||
| 05 - News and notes.pdf | 144.22 KB | ||
| 06 - Erratum.pdf | 25.5 KB | ||
| Volume 04 | |||
| #1 | |||
| 00 - Editorial.pdf | 100.16 KB | ||
| 01 - Learning conjunctive concepts in structural domains.pdf | 1.41 MB | ||
| 02 - Semi-supervised learning.pdf | 999.31 KB | ||
| 03 - On learning sets and functions.pdf | 1.21 MB | ||
| 04 - Efficient specialization of relational concepts.pdf | 344.08 KB | ||
| 05 - News and notes.pdf | 120.1 KB | ||
| #2 | |||
| 00 - Editorial.pdf | 120.87 KB | ||
| 01 - LT Revisited. Explanation-Based Learning and the Logic of Principia Mathematica.pdf | 2.46 MB | ||
| 02 - Incremental Induction of Decision Trees.pdf | 1.11 MB | ||
| 03 - A Study of Explanation-Based Methods for Inductive Learning.pdf | 1.84 MB | ||
| 04 - An Empirical Comparison of Pruning Methods for Decision Tree Induction.pdf | 794.29 KB | ||
| #3-4 | |||
| 00 - Introduction. A sampler in knowledge acquisition for the machine learning community.pdf | 128.69 KB | ||
| 01 - Can machine learning offer anything to expert systems.pdf | 188.06 KB | ||
| 02 - When will machines learn.pdf | 134.92 KB | ||
| 03 - Supporting start-to-finish development of knowledge bases.pdf | 1.07 MB | ||
| 04 - The knowledge level reinterpreted. Modeling how systems interact.pdf | 348.82 KB | ||
| 05 - Automated knowledge acquisition for strategic knowledge.pdf | 2.04 MB | ||
| 06 - The world would be a better place if non-programmers could program.pdf | 92.06 KB | ||
| 07 - Task-structures, knowledge acquisition and learning.pdf | 297.58 KB | ||
| 08 - Automated support for building and extending expert models.pdf | 1.46 MB | ||
| 09 - Knowledge acquisition for knowledge-based systems. Notes on the state-of-the-art.pdf | 786.69 KB | ||
| Volume 05 | |||
| #1 | |||
| 00 - Editorial Exploratory research in machine learning.pdf | 227.25 KB | ||
| 01 - Extending domain theories. Two case studies in student modeling.pdf | 1.07 MB | ||
| 02 - Acquiring recursive and iterative concepts with explanation-based learning.pdf | 1.48 MB | ||
| 03 - Boolean feature discovery in empirical learning.pdf | 1.08 MB | ||
| 04 - A necessary condition for learning from positive examples.pdf | 424.57 KB | ||
| 05 - Announcements.pdf | 35.76 KB | ||
| #2 | |||
| 00 - Introduction. Special issue on computational learning theory.pdf | 218.61 KB | ||
| 01 - Negative results for equivalence queries.pdf | 1.09 MB | ||
| 02 - Polynomial time learnability of simple deterministic languages.pdf | 551.06 KB | ||
| 03 - Learning nested differences of intersection-closed concept classes.pdf | 1.33 MB | ||
| 04 - The strength of weak learnability.pdf | 1.28 MB | ||
| 05 - Errata.pdf | 17.77 KB | ||
| #3 | |||
| 00 - Editorial advice to Machine Learning authors.pdf | 198.18 KB | ||
| 01 - Learning logical definitions from relations.pdf | 1.09 MB | ||
| 02 - Empirical learning as a function of concept character.pdf | 1.35 MB | ||
| 03 - The problem of expensive chunks and its solution by restricting expressiveness.pdf | 2.2 MB | ||
| #4 | |||
| 00 - Introduction.pdf | 135.85 KB | ||
| 01 - Learning sequential decision rules using simulation models and competition.pdf | 1.08 MB | ||
| 02 - CSM. A computational model of cumulative learning.pdf | 1.01 MB | ||
| 03 - Probability matching, the magnitude of reinforcement, and classifier system bidding.pdf | 756.54 KB | ||
| 04 - Empirical learning using rule threshold optimization for detection of events in synthetic images.pdf | 989.89 KB | ||
| 05 - Call for papers for ICGA-91.pdf | 45.22 KB | ||
| Volume 06 | |||
| #1 | |||
| 00 - Editorial.pdf | 63.48 KB | ||
| 01 - Rigel. An Inductive Learning System.pdf | 1.67 MB | ||
| 02 - Instance-Based Learning Algorithms.pdf | 1.46 MB | ||
| 03 - Information-Based Evaluation Criterion for Classifier's Performance.pdf | 631.63 KB | ||
| 04 - A Distance-Based Attribute Selection Measure for Decision Tree Induction.pdf | 372.37 KB | ||
| 05 - Improved Estimates for the Accuracy of Small Disjuncts.pdf | 279.58 KB | ||
| 06 - Book Review. Exemplar-Based Knowledge Acquisition, by Ray Bareiss. Academic Press, 1989.pdf | 242.14 KB | ||
| 07 - A Reply To Reich's Book Review of Exemplar-Based Knowledge Acquisition.pdf | 97 KB | ||
| #2 | |||
| 00 - Symbolic and neural learning algorithms. An experimental comparison.pdf | 1.43 MB | ||
| 01 - A PAC algorithm for making feature maps.pdf | 703.91 KB | ||
| 02 - Learning search control knowledge. An explanation-based approach.pdf | 418.4 KB | ||
| 02 - Letter recognition using Holland-style adaptive classifiers.pdf | 1 MB | ||
| 03 - A critical look at experimental evaluations of EBL.pdf | 592.62 KB | ||
| 04 - A reply to Zito-Wolf's book review ofLearning search control knowledge. An explanation-based approach.pdf | 98.06 KB | ||
| #3 | |||
| 00 - Complexity Results on Learning by Neural Nets.pdf | 735.59 KB | ||
| 01 - The Use of Background Knowledge in Decision Tree Induction.pdf | 670.11 KB | ||
| 02 - A Nearest Hyperrectangle Learning Method.pdf | 1.2 MB | ||
| 03 - Conflict Resolution as Discovery in Particle Physics.pdf | 1.45 MB | ||
| Volume 07 | |||
| #1 | |||
| 00 - Editorial.pdf | 41.26 KB | ||
| 01 - An incremental deductive strategy for controlling constructive induction in learning from examples.pdf | 1.85 MB | ||
| 02 - Learning to perceive and act by trial and error.pdf | 1.66 MB | ||
| 03 - Learning to predict non-deterministically generated strings.pdf | 615.49 KB | ||
| #2-3 | |||
| 00 - Introduction.pdf | 165.96 KB | ||
| 01 - Learning Automata from Ordered Examples.pdf | 1.84 MB | ||
| 02 - SLUG. A Connectionist Architecture for Inferring the Structure of Finite-State Environments.pdf | 1.67 MB | ||
| 03 - Graded State Machines. The Representation of Temporal Contingencies in Simple Recurrent Networks.pdf | 2.17 MB | ||
| 04 - Distributed Representations, Simple Recurrent Networks, And Grammatical Structure.pdf | 1.75 MB | ||
| 05 - The Induction of Dynamical Recognizers.pdf | 2.3 MB | ||
| Volume 08 | |||
| #1 | |||
| 00 - Learning Two-Tiered Descriptions of Flexible Concepts. The POSEIDON System.pdf | 2 MB | ||
| 01 - Implementing Valiant's Learnability Theory Using Random Sets.pdf | 1.31 MB | ||
| 02 - A Further Comparison of Splitting Rules for Decision-Tree Induction.pdf | 495.95 KB | ||
| 03 - On the Handling of Continuous-Valued Attributes in Decision Tree Generation.pdf | 820.95 KB | ||
| #2 | |||
| 00 - Editorial.pdf | 49.36 KB | ||
| 01 - Interactive concept-learning and constructive induction by analogy.pdf | 1.79 MB | ||
| 02 - Learning probabilistic automata and Markov chains via queries.pdf | 689.21 KB | ||
| 03 - Abductive explanation-based learning. A solution to the multiple inconsistent explanation problem.pdf | 2.29 MB | ||
| 04 - Announcement.pdf | 33.83 KB | ||
| #3-4 | |||
| 00 - Introduction. The Challenge of Reinforcement Learning.pdf | 158.94 KB | ||
| 01 - Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning.pdf | 1.1 MB | ||
| 02 - Practical Issues in Temporal Difference Learning.pdf | 1.56 MB | ||
| 03 - Technical Note. Q-Learning.pdf | 516.24 KB | ||
| 04 - Self-Improving Reactive Agents Based on Reinforcement Learning, Planning and Teaching.pdf | 1.31 MB | ||
| 05 - Transfer of Learning by Composing Solutions of Elemental Sequential Tasks.pdf | 929.96 KB | ||
| 06 - The Convergence of TD(lambda) for General lambda.pdf | 747.31 KB | ||
| 07 - A Reinforcement Connectionist Approach to Robot Path Finding in Non-Maze-Like Environments.pdf | 2.17 MB | ||
| Volume 09 | |||
| #1 | |||
| 00 - Machine Learning. A Maturing Field.pdf | 167.94 KB | ||
| 01 - Dynamic Parameter Encoding for Genetic Algorithms.pdf | 705.28 KB | ||
| 02 - Higher-Order and Modal Logic as a Framework for Explanation-Based Generalization.pdf | 1.41 MB | ||
| 03 - The Utility of Knowledge in Inductive Learning.pdf | 1.67 MB | ||
| 04 - Book Review. Neural Network Design and the Complexity of Learning, by J. Stephen Judd. Cambridge, MA. MIT Press, 1990.pdf | 193.09 KB | ||
| 05 - A Reply to Honavar's Book Review of Neural Network Design and the Complexity of Learning.pdf | 66.28 KB | ||
| #2-3 | |||
| 00 - Introduction.pdf | 195.4 KB | ||
| 01 - Lower Bound Methods and Separation Results for On-Line Learning Models.pdf | 1.72 MB | ||
| 02 - Learning Conjunctions of Horn Clauses.pdf | 807.43 KB | ||
| 03 - A Learning Criterion for Stochastic Rules.pdf | 1.61 MB | ||
| 04 - On the Computational Complexity of Approximating Distributions by Probabilistic Automata.pdf | 1.92 MB | ||
| 05 - A Universal Method of Scientific Inquiry.pdf | 466.03 KB | ||
| #4 | |||
| 00 - Explorations of an Incremental, Bayesian Algorithm for Categorization.pdf | 1.61 MB | ||
| 01 - A Bayesian Method for the Induction of Probabilistic Networks from Data.pdf | 1.76 MB | ||
| 02 - A Framework for Average Case Analysis of Conjunctive Learning Algorithms.pdf | 1.22 MB | ||
| 03 - Learning Boolean Functions in an Infinite Attribute Space.pdf | 649.99 KB | ||
| 04 - Technical Note. First Nearest Neighbor Classification on Frey and Slate's Letter Recognition Problem.pdf | 101.65 KB | ||
| Volume 10 | |||
| #1 | |||
| 00 - Editorial.pdf | 41.66 KB | ||
| 01 - Synthesis of UNIX Programs Using Derivational Analogy.pdf | 2.63 MB | ||
| 02 - A Weighted Nearest Neighbor Algorithm for Learning with Symbolic Features.pdf | 1.1 MB | ||
| 03 - Induction Over the Unexplained. Using Overly-General Domain Theories to Aid Concept Learning.pdf | 1.93 MB | ||
| #2 | |||
| 00 - Information filtering. Selection mechanisms in learning systems.pdf | 1.85 MB | ||
| 01 - Overfitting avoidance as bias.pdf | 1.35 MB | ||
| 02 - Creating a memory of causal relationships, by Michael Pazzani, Hillsdale, NJ. Lawrence Erlbaum, 1990.pdf | 271.58 KB | ||
| 03 - A reply to Cohen's book review of Creating a Memory of Causal Relationships.pdf | 303.49 KB | ||
| #3 | |||
| 00 - Introduction.pdf | 272.96 KB | ||
| 01 - Indexing, Elaboration and Refinement. Incremental Learning of Explanatory Cases.pdf | 2.8 MB | ||
| 02 - Derivational Analogy in PRODIGY. Automating Case Acquisition, Storage, and Utilization.pdf | 1.63 MB | ||
| 03 - Opportunism and Learning.pdf | 1.69 MB | ||
| 04 - Integrating Feature Extraction and Memory Search.pdf | 1.52 MB | ||
| 05 - Wastewater Treatment Systems from Case–Based Reasoning.pdf | 923.31 KB | ||
| Volume 11 | |||
| #1 | |||
| 00 - Coding Decision Trees.pdf | 669.99 KB | ||
| 01 - Active Learning Using Arbitrary Binary Valued Queries.pdf | 666.77 KB | ||
| 02 - Noise-Tolerant Occam Algorithms and Their Applications to Learning Decision Trees.pdf | 1022.59 KB | ||
| 03 - Very Simple Classification Rules Perform Well on Most Commonly Used Datasets.pdf | 1.22 MB | ||
| 04 - An Analysis of the WITT Algorithm.pdf | 469.54 KB | ||
| #2-3 | |||
| 00 - Introduction.pdf | 77.77 KB | ||
| 01 - Inferential Theory of Learning as a Conceptual Basis for Multistrategy Learning.pdf | 2.17 MB | ||
| 03 - Multistrategy Learning and Theory Revision.pdf | 1.03 MB | ||
| 04 - Learning Causal Patterns. Making a Transition from Data-Driven to Theory-Driven Learning.pdf | 1.08 MB | ||
| 05 - Using Knowledge-Based Neural Networks to Improve Algorithms. Refining the Chou–Fasman Algorithm for Protein Folding.pdf | 1.31 MB | ||
| 06 - Balanced Cooperative Modeling.pdf | 1.46 MB | ||
| 07 - Plausible Justification Trees. A Framework for Deep and Dynamic Integration of Learning Strategies.pdf | 1.04 MB | ||
| Volume 12 | |||
| #1-3 | |||
| 00 - Introduction. Cognitive autonomy in machine discovery.pdf | 532.46 KB | ||
| 01 - An integrated framework for empirical discovery.pdf | 1.51 MB | ||
| 02 - Experience selection and problem choice in an exploratory learning system.pdf | 860.64 KB | ||
| 03 - Discovery by Minimal Length Encoding. A case study in molecular evolution.pdf | 854.1 KB | ||
| 04 - Design methods for scientific hypothesis formation and their application to molecular biology.pdf | 1.33 MB | ||
| 05 - Machine discovery of effective admissible heuristics.pdf | 1.15 MB | ||
| 06 - Discovery as autonomous learning from the environment.pdf | 1.04 MB | ||
| 07 - Bivariate scientific function finding in a sampled, real-data testbed.pdf | 747.5 KB | ||
| 08 - The design of discrimination experiments.pdf | 886.92 KB | ||
| 09 - Publisher's note.pdf | 23.32 KB | ||
| Volume 13 | |||
| #1 | |||
| 00 - Cost-Sensitive Learning of Classification Knowledge and Its Applications in Robotics.pdf | 1.55 MB | ||
| 01 - Explanation-Based Learning for Diagnosis.pdf | 1.46 MB | ||
| 02 - Extracting Refined Rules from Knowledge-Based Neural Networks.pdf | 1.64 MB | ||
| 03 - Prioritized Sweeping. Reinforcement Learning with Less Data and Less Time.pdf | 1.91 MB | ||
| 04 - Technical Note. Selecting a Classification Method by Cross-Validation.pdf | 461.85 KB | ||
| 05 - Book Review Machine Learning. A Theoretical Approach by Balas K. Natarajan. Morgan Kaufmann Publishers, Inc., 1991.pdf | 277.14 KB | ||
| 06 - A Reply to Hellerstein's Book Review of Machine Learning. A Theoretical Approach.pdf | 82.56 KB | ||
| #2-3 | |||
| 00 - Introduction.pdf | 220.16 KB | ||
| 01 - Using Genetic Algorithms for Concept Learning.pdf | 1.26 MB | ||
| 02 - A Knowledge-Intensive Genetic Algorithm for Supervised Learning.pdf | 2.49 MB | ||
| 03 - Competition-Based Induction of Decision Models from Examples.pdf | 1.46 MB | ||
| 04 - Genetic Reinforcement Learning for Neurocontrol Problems.pdf | 1.73 MB | ||
| 05 - What Makes a Problem Hard for a Genetic Algorithm Some Anomalous Results and Their Explanation.pdf | 1.99 MB | ||
| Volume 14 | |||
| #1 | |||
| 00 - Foreword.pdf | 42.25 KB | ||
| 01 - Randomly Fallible Teachers. Learning Monotone DNF with an Incomplete Membership Oracle.pdf | 862.26 KB | ||
| 02 - Tracking Drifting Concepts By Minimizing Disagreements.pdf | 779.97 KB | ||
| 03 - Learning Probabilistic Read-once Formulas on Product Distributions.pdf | 1.29 MB | ||
| 04 - Bounds on the Sample Complexity of Bayesian Learning Using Information Theory and the VC Dimension.pdf | 1.28 MB | ||
| 05 - Approximation and Estimation Bounds for Artificial Neural Networks.pdf | 861.06 KB | ||
| #2 | |||
| 00 - Guest Editorial.pdf | 106.5 KB | ||
| 01 - Hypothesis-Driven Constructive Induction in AQ17-HCI. A Method and Experiments.pdf | 2.63 MB | ||
| 02 - Concept Formation During Interactive Theory Revision.pdf | 1.21 MB | ||
| 03 - A Polynomial Approach to the Constructive Induction of Structural Knowledge.pdf | 1.18 MB | ||
| 04 - Flattening and Saturation. Two Representation Changes for Generalization.pdf | 618.33 KB | ||
| 05 - Explicit Representation of Concept Negation.pdf | 534.51 KB | ||
| #3 | |||
| 00 - Algorithms and lower bounds for on-line learning of geometrical concepts.pdf | 781.86 KB | ||
| 01 - The power of self-directed learning.pdf | 1.03 MB | ||
| 02 - TD(lambda) converges with probability 1.pdf | 297.14 KB | ||
| 03 - Introduction to the abstracts of the invited talks presented at ML92 conference in Aberdeen, 1–3 July 1992.pdf | 44.06 KB | ||
| 04 - Machine learning and qualitative reasoning.pdf | 372.08 KB | ||
| 05 - Children, adults, and machines as discovery systems.pdf | 341.85 KB | ||
| 06 - Combining symbolic and neural learning.pdf | 519.63 KB | ||
| 07 - Statistical methods for analyzing speedup learning experiments.pdf | 782.95 KB | ||
| Volume 15 | |||
| #1 | |||
| 00 - Incremental Abductive EBL.pdf | 1.04 MB | ||
| 01 - The Importance of Attribute Selection Measures in Decision Tree Induction.pdf | 792.25 KB | ||
| 02 - Discrete Sequence Prediction and Its Applications.pdf | 1.32 MB | ||
| 03 - On-Line Learning from Search Failures.pdf | 2.35 MB | ||
| #2 | |||
| 00 - Introduction. Structured Connectionist Systems.pdf | 134.09 KB | ||
| 01 - Neural Network-Based Vision for Precise Control of a Walking Robot.pdf | 1.18 MB | ||
| 02 - Using Neural Networks to Modularize Software.pdf | 1.41 MB | ||
| 03 - Higher-Order Neural Networks Applied to 2D and 3D Object Recognition.pdf | 2.05 MB | ||
| 04 - Improving Generalization with Active Learning.pdf | 1.16 MB | ||
| #3 | |||
| 00 - Trading accuracy for simplicity in decision trees.pdf | 1.12 MB | ||
| 01 - Toward an ideal trainer.pdf | 1.29 MB | ||
| 02 - Associative reinforcement learning. Functions in k-DNF.pdf | 834.12 KB | ||
| 03 - Associative reinforcement learning. A generate and test algorithm.pdf | 863.13 KB | ||
| 04 - Bias in information-based measures in decision tree induction.pdf | 365.67 KB | ||
| Volume 16 | |||
| #1-2 | |||
| 00 - Editorial. New Editorial Board Members.pdf | 62.91 KB | ||
| 01 - Guest Editor's Introduction.pdf | 119.94 KB | ||
| 02 - Acquisition of Children's Addition Strategies. A Model of Impasse-Free, Knowledge-Level Learning.pdf | 1.35 MB | ||
| 03 - Case-Based Learning. Predictive Features in Indexing.pdf | 1.02 MB | ||
| 04 - Modeling Cognitive Development on Balance Scale Phenomena.pdf | 1.71 MB | ||
| 05 - Simulating the Child's Acquisition of the Lexicon and Syntax - Experiences With Babel.pdf | 1.75 MB | ||
| 06 - Acquiring and Combining Overlapping Concepts.pdf | 1.74 MB | ||
| #3 | |||
| 00 - Learning nonoverlapping perceptron networks from examples and membership queries.pdf | 1.02 MB | ||
| 01 - Asynchronous stochastic approximation and Q-learning.pdf | 685.61 KB | ||
| 02 - Complexity-based induction.pdf | 881.24 KB | ||
| 03 - An upper bound on the loss from approximate optimal-value functions.pdf | 261.47 KB | ||
| 04 - C4.5. Programs for Machine Learning by J. Ross Quinlan. Morgan Kaufmann Publishers, Inc., 1993.pdf | 305.25 KB | ||
| Volume 17 | |||
| #1 | |||
| 00 - Generalizing Version Spaces.pdf | 1.92 MB | ||
| 01 - Algebraic Reasoning about Reactions. Discovery of Conserved Properties in Particle Physics.pdf | 931.88 KB | ||
| 02 - Quantifying Prior Determination Knowledge Using the PAC Learning Model.pdf | 1.51 MB | ||
| #2-3 | |||
| 00 - Guest editor's introduction.pdf | 198.02 KB | ||
| 01 - Toward efficient agnostic learning.pdf | 1.22 MB | ||
| 02 - A theory for memory-based learning.pdf | 897.39 KB | ||
| 03 - The learnability of description logics with equality constraints.pdf | 1.31 MB | ||
| 04 - On-line learning of rectangles and unions of rectangles.pdf | 989.68 KB | ||
| Volume 18 | |||
| #1 | |||
| 00 - A Branch and Bound Incremental Conceptual Clusterer.pdf | 922.9 KB | ||
| 01 - Probably Almost Discriminative Learning.pdf | 1.14 MB | ||
| 02 - A Comparison of ID3 and Backpropagation for English Text-To-Speech Mapping.pdf | 1.14 MB | ||
| 03 - Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning.pdf | 1.41 MB | ||
| 04 - Classification Accuracy. Machine Learning vs. Explicit Knowledge Acquisition.pdf | 292.53 KB | ||
| 05 - Book Review. Neural Network Perception For Mobile Robot Guidanceby Dean A. Pomerleau. Kluwer Academic Publishers, 1993.pdf | 254.81 KB | ||
| 06 - A Reply to Towell's Book Review of Neural Network Perception for Mobile Robot Guidance.pdf | 84.83 KB | ||
| #2-3 | |||
| 00 - Guest Editor's Introduction.pdf | 174.89 KB | ||
| 01 - Bounding the Vapnik-Chervonenkis Dimension of Concept Classes Parameterized by Real Numbers.pdf | 843.18 KB | ||
| 02 - Learning Fallible Deterministic Finite Automata.pdf | 1.57 MB | ||
| 03 - On the Complexity of Function Learning.pdf | 1.79 MB | ||
| 04 - Piecemeal Learning of an Unknown Environment.pdf | 1.8 MB | ||
| 05 - Learning from a Population of Hypotheses.pdf | 994.82 KB | ||
| Volume 19 | |||
| #1 | |||
| 00 - An Experimental Comparison of the Nearest-Neighbor and Nearest-Hyperrectangle Algorithms.pdf | 1.7 MB | ||
| 01 - Monotonicity Maintenance in Information-Theoretic Machine Learning Algorithms.pdf | 728.48 KB | ||
| 02 - Multivariate Decision Trees.pdf | 1.58 MB | ||
| 03 - Encouraging Experimental Results on Learning CNF.pdf | 1.01 MB | ||
| #2 | |||
| 00 - Automated Refinement of First-Order Horn-Clause Domain Theories.pdf | 1.64 MB | ||
| 01 - Comprehension Grammars Generated from Machine Learning of Natural Languages.pdf | 859.25 KB | ||
| 02 - On Polynomial-Time Learnability in the Limit of Strictly Deterministic Automata.pdf | 1.06 MB | ||
| #3 | |||
| 00 - On the Learnability of Disjunctive Normal Form Formulas.pdf | 1.21 MB | ||
| 01 - ALECSYS and the AutonoMouse. Learning to Control a Real Robot by Distributed Classifier Systems.pdf | 2.31 MB | ||
| 02 - On the Stochastic Complexity of Learning Realizable and Unrealizable Rules.pdf | 939.08 KB | ||
| Volume 20 | |||
| #1-2 | |||
| 00 - Evaluation and Selection of Biases in Machine Learning.pdf | 957.76 KB | ||
| 01 - Technical Note. Bias and the Quantification of Stability.pdf | 603.95 KB | ||
| 02 - Inductive Policy. The Pragmatics of Bias Selection.pdf | 1.72 MB | ||
| 03 - Recursive Automatic Bias Selection for Classifier Construction.pdf | 1.71 MB | ||
| 04 - The Appropriateness of Predicate Invention as Bias Shift Operation in ILP.pdf | 1.21 MB | ||
| 05 - Declarative Bias for Specific-to-General ILP Systems.pdf | 1.47 MB | ||
| 06 - Shifting Vocabulary Bias in Speedup Learning.pdf | 1.89 MB | ||
| #3 | |||
| 00 - Learning Bayesian Networks. The Combination of Knowledge and Statistical Data.pdf | 2.15 MB | ||
| 01 - Learning Binary Relations Using Weighted Majority Voting.pdf | 1.17 MB | ||
| 02 - Support-Vector Networks.pdf | 1.32 MB | ||
| Volume 21 | |||
| #1-2 | |||
| 00 - Introduction.pdf | 239.53 KB | ||
| 01 - Genetic Algorithms, Operators, and DNA Fragment Assembly.pdf | 1.11 MB | ||
| 02 - Discovering Dependencies via Algorithmic Mutual Information. A Case Study in DNA Sequence Comparisons.pdf | 656.06 KB | ||
| 03 - Unsupervised Learning of Multiple Motifs in Biopolymers Using Expectation Maximization.pdf | 1.18 MB | ||
| 04 - DEXTER. A System that Experiments with Choices of Training Data Using Expert Knowledge in the Domain of DNA Hydration.pdf | 1.07 MB | ||
| 05 - Use of Adaptive Networks to Define Highly Predictable Protein Secondary–Structure Classes.pdf | 996.14 KB | ||
| 06 - Machine Discovery of Protein Motifs.pdf | 1.17 MB | ||
| 07 - Searching for Representations to Improve Protein Sequence Fold-Class Prediction.pdf | 1.29 MB | ||
| 08 - Neural Networks for Full-Scale Protein Sequence Classification. Sequence Encoding with Singular Value Decomposition.pdf | 1012.99 KB | ||
| #3 | |||
| 00 - The Parti-game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-spaces.pdf | 2.04 MB | ||
| 01 - An Integration of Rule Induction and Exemplar-Based Learning for Graded Concepts.pdf | 1.59 MB | ||
| 02 - Sample Compression, Learnability, and the Vapnik-Chervonenkis Dimension.pdf | 1.71 MB | ||
| Volume 22 | |||
| #1-3 | |||
| 00 - Editorial.pdf | 84.28 KB | ||
| 01 - Introduction.pdf | 139.14 KB | ||
| 02 - Efficient reinforcement learning through symbiotic evolution.pdf | 984.26 KB | ||
| 03 - Linear Least-Squares algorithms for temporal difference learning.pdf | 921.59 KB | ||
| 04 - Feature-based methods for large scale dynamic programming.pdf | 1.38 MB | ||
| 05 - On the worst-case analysis of temporal-difference learning algorithms.pdf | 898.2 KB | ||
| 06 - Reinforcement learning with replacing eligibility traces.pdf | 1.19 MB | ||
| 07 - Average reward reinforcement learning. Foundations, algorithms, and empirical results.pdf | 1.54 MB | ||
| 08 - The loss from imperfect value functions in expectation-based and minimax-based tasks.pdf | 1.05 MB | ||
| 09 - The effect of representation and knowledge on goal-directed exploration with reinforcement-learning algorithms.pdf | 1.07 MB | ||
| 10 - Creating advice-taking reinforcement learners.pdf | 1.35 MB | ||
| 11 - Incremental multi-step Q-learning.pdf | 338.55 KB | ||
| Volume 23 | |||
| #1 | |||
| 00 - Representation of Finite State Automata in Recurrent Radial Basis Function Networks.pdf | 831.44 KB | ||
| 01 - Scaling Up Inductive Learning with Massive Parallelism.pdf | 474.72 KB | ||
| 02 - Classification by Feature Partitioning.pdf | 675.21 KB | ||
| 03 - Learning in the Presence of Concept Drift and Hidden Contexts.pdf | 974.77 KB | ||
| 04 - Review of Inductive Logic Programming. Techniques and Applications by Nada Lavrac, Saso Dzeroski.pdf | 196.99 KB | ||
| 05 - A Reply to Pazzani's Book Review of Inductive Logic Programming. Techniques and Applications.pdf | 84.91 KB | ||
| #2-3 | |||
| 00 - Introduction.pdf | 101.81 KB | ||
| 01 - Real-world robotics. Learning to plan for robust execution.pdf | 1.61 MB | ||
| 02 - Robot programming by Demonstration (RPD). Supporting the induction by human interaction.pdf | 1.19 MB | ||
| 03 - Performance improvement of robot continuous-path operation through iterative learning using neural networks.pdf | 1017.1 KB | ||
| 04 - Learning controllers for industrial robots.pdf | 1.21 MB | ||
| 05 - Active learning for vision-based robot grasping.pdf | 1.28 MB | ||
| 06 - Purposive behavior acquisition for a real robot by vision-based reinforcement learning.pdf | 973.67 KB | ||
| 07 - Learning concepts from sensor data of a mobile robot.pdf | 1.21 MB | ||
| Volume 24 | |||
| #1 | |||
| 00 - BEXA. A Covering Algorithm for Learning Propositional Concept Descriptions.pdf | 1.18 MB | ||
| 01 - Technical Note. Some Properties of Splitting Criteria.pdf | 190.59 KB | ||
| 02 - Stacked Regressions.pdf | 404.07 KB | ||
| 03 - On Learning Visual Concepts and DNF Formulae.pdf | 337.65 KB | ||
| #2 | |||
| 00 - A Lattice Conceptual Clustering System and Its Application to Browsing Retrieval.pdf | 278.37 KB | ||
| 01 - Bagging Predictors.pdf | 293.63 KB | ||
| 02 - Unifying Instance-Based and Rule-Based Induction.pdf | 376.2 KB | ||
| #3 | |||
| 00 - Error Reduction through Learning Multiple Descriptions.pdf | 312.48 KB | ||
| 01 - A Decision-Tree Model of Balance Scale Development.pdf | 314.66 KB | ||
| 02 - Efficient Incremental Induction of Decision Trees.pdf | 156.42 KB | ||
| Volume 25 | |||
| #1 | |||
| 00 - Exploration Bonuses and Dual Control.pdf | 250.38 KB | ||
| 01 - On-line Prediction and Conversion Strategies.pdf | 489.06 KB | ||
| 01 - Using the Minimum Description Length Principle to Infer Reduced Ordered Decision Graphs.pdf | 357.32 KB | ||
| 02 - PAC Learning of One-Dimensional Patterns.pdf | 572.66 KB | ||
| #2-3 | |||
| 00 - Guest editor's introduction.pdf | 81.45 KB | ||
| 01 - The power of amnesia. Learning probabilistic automata with variable memory length.pdf | 1.38 MB | ||
| 02 - Classic learning.pdf | 2.04 MB | ||
| 03 - Rigorous learning curve bounds from statistical mechanics.pdf | 1.63 MB | ||
| 04 - On the limits of proper learnability of subclasses of DNF formulas.pdf | 1.3 MB | ||
| Volume 26 | |||
| #1 | |||
| 00 - Empirical Support for Winnow and Weighted-Majority Algorithms Results on a Calendar Scheduling Domain.pdf | 220.1 KB | ||
| 01 - Exact Learning of Formulas in Parallel.pdf | 146.38 KB | ||
| 02 - Learning and Updating of Uncertainty in Dirichlet Models.pdf | 363.88 KB | ||
| 03 - A Microscopic Study of Minimum Entropy Search in Learning Decomposable Markov Networks.pdf | 213.03 KB | ||
| #2-3 | |||
| 00 - Guest Editors' Introduction.pdf | 40.31 KB | ||
| 01 - Clausal Discovery.pdf | 566.65 KB | ||
| 02 - First Order Regression.pdf | 282.85 KB | ||
| 03 - Learning Qualitative Models of Dynamic Systems.pdf | 624.99 KB | ||
| 04 - Generalization of Clauses Relative to a Theory.pdf | 120.23 KB | ||
| 05 - A Pattern-Based First-Order Inductive System.pdf | 325.68 KB | ||
| Volume 27 | |||
| #1 | |||
| 00 - Guest Editor's Introduction.pdf | 16.07 KB | ||
| 01 - An Experimental and Theoretical Comparison of Model Selection Methods.pdf | 820.29 KB | ||
| 02 - Predicting Nearly As Well As the Best Pruning of a Decision Tree.pdf | 319.46 KB | ||
| 03 - Exactly Learning Automata of Small Cover Time.pdf | 441.44 KB | ||
| 04 - A Comparison of New and Old Algorithms for a Mixture Estimation Problem.pdf | 466.89 KB | ||
| #2 | |||
| 00 - Characteristic Sets for Polynomial Grammatical Inference.pdf | 113.15 KB | ||
| 01 - Pruning Algorithms for Rule Learning.pdf | 381.53 KB | ||
| 02 - Representing Probabilistic Rules with Networks of Gaussian Basis Functions.pdf | 326.08 KB | ||
| #3 | |||
| 00 - Guest Editors' Introduction.pdf | 43.99 KB | ||
| 01 - Integrating Multiple Learning Strategies in First Order Logics.pdf | 386.72 KB | ||
| 02 - Using Background Knowledge to Build Multistrategy Learners.pdf | 121.4 KB | ||
| 03 - Tracking Context Changes through Meta-Learning.pdf | 316.85 KB | ||
| 04 - A Multistrategy Approach to Relational Knowledge Discovery in Databases.pdf | 359.41 KB | ||
| 05 - Learning and Revising User Profiles The Identification of Interesting Web Sites.pdf | 164.61 KB | ||
| Volume 28 | |||
| #1 | |||
| 00 - Guest Editors' Introduction.pdf | 12.63 KB | ||
| 01 - A Bayesian-Information Theoretic Model of Learning to Learn via Multiple Task Sampling.pdf | 407.96 KB | ||
| 02 - Multitask Learning.pdf | 381.52 KB | ||
| 03 - CHILD A First Step Towards Continual Learning.pdf | 310.93 KB | ||
| 04 - Shifting Inductive Bias with Success-Story Algorithm, Adaptive Levin Search, and Incremental Self-Improvement.pdf | 373.09 KB | ||
| #2-3 | |||
| 00 - Selective Sampling Using the Query by Committee Algorithm.pdf | 435.58 KB | ||
| 01 - Explanation-Based Learning and Reinforcement Learning A Unified View.pdf | 476.24 KB | ||
| 02 - Malicious Omissions and Errors in Answers to Membership Queries.pdf | 716.83 KB | ||
| 03 - An Exact Probability Metric for Decision Tree Splitting and Stopping.pdf | 382.23 KB | ||
| Volume 29 | |||
| #1 | |||
| 00 - Decision Tree Induction Based on Efficient Tree Restructuring.pdf | 356.22 KB | ||
| 01 - Online Learning versus Offline Learning.pdf | 322.05 KB | ||
| 02 - Coping with Uncertainty in Map Learning.pdf | 448.69 KB | ||
| #2-3 | |||
| 00 - Learning with Probabilistic Representations.pdf | 123.64 KB | ||
| 01 - On the Optimality of the Simple Bayesian Classifier under Zero-One Loss.pdf | 344.98 KB | ||
| 02 - Bayesian Network Classifiers.pdf | 517.34 KB | ||
| 03 - The Sample Complexity of Learning Fixed-Structure Bayesian Networks.pdf | 287.72 KB | ||
| 04 - Efficient Approximations for the Marginal Likelihood of Bayesian Networks with Hidden Variables.pdf | 401.78 KB | ||
| 05 - Adaptive Probabilistic Networks with Hidden Variables.pdf | 377.56 KB | ||
| 06 - Factorial Hidden Markov Models.pdf | 392.4 KB | ||
| 07 - Predicting Protein Secondary Structure Using Stochastic Tree Grammars.pdf | 396.44 KB | ||
| Volume 30 | |||
| #1 | |||
| 00 - Guest Editor's Introduction.pdf | 55.73 KB | ||
| 01 - PAC Learning Axis-aligned Rectangles with Respect to Product Distributions from Multiple-Instance Examples.pdf | 303.86 KB | ||
| 02 - A Note on Learning from Multiple-Instance Examples.pdf | 234.46 KB | ||
| 03 - Strong Minimax Lower Bounds for Learning.pdf | 179.78 KB | ||
| 04 - Hardness Results for Learning First-Order Representations and Programming by Demonstration.pdf | 478.32 KB | ||
| 05 - On Restricted-Focus-of-Attention Learnability of Boolean Functions.pdf | 511.75 KB | ||
| #2-3 | |||
| 00 - Guest Editors' Introduction On Applied Research in Machine Learning.pdf | 95.99 KB | ||
| 01 - Learning in the Real World.pdf | 314.65 KB | ||
| 02 - Learning to Recognize Volcanoes on Venus.pdf | 942 KB | ||
| 03 - Machine Learning for the Detection of Oil Spills in Satellite Radar Images.pdf | 700.21 KB | ||
| 04 - Knowledge-Based Learning in Exploratory Science Learning Rules to Predict Rodent Carcinogenicity.pdf | 360.12 KB | ||
| 05 - Pharmacophore Discovery Using the Inductive Logic Programming System PROGOL.pdf | 522.92 KB | ||
| 06 - Glossary of Terms.pdf | 140.42 KB | ||
| Volume 31 | |||
| #1-3 | |||
| 00 - Foreword.pdf | 15.32 KB | ||
| 01 - Rapid Concept Learning for Mobile Robots.pdf | 263.2 KB | ||
| 02 - A Probabilistic Approach to Concurrent Mapping and Localization for Mobile Robots.pdf | 573 KB | ||
| 03 - Module-Based Reinforcement Learning - Experiments with a Real Robot.pdf | 214.75 KB | ||
| 04 - Hierarchical Learning of Navigational Behaviors in an Autonomous Robot using a Predictive Sparse Distributed Memory.pdf | 242.28 KB | ||
| 05 - Learning from Innate Behaviors - A Quantitative Evaluation of Neural Network Controllers.pdf | 141.63 KB | ||
| 06 - Learning from History for Behavior-Based Mobile Robots in Non-Stationary Conditions.pdf | 277.82 KB | ||
| 07 - Self Calibration of the Fixation Movement of a Stereo Camera Head.pdf | 127.8 KB | ||
| 08 - Emergence and Categorization of Coordinated Visual Behavior Through Embodied Interaction.pdf | 118.48 KB | ||
| 09 - Training a Vision Guided Mobile Robot.pdf | 185.9 KB | ||
| 10 - Learning Dextrous Manipulation Skills for Multifingered Robot Hands Using the Evolution Strategy.pdf | 182.38 KB | ||
| 11 - Learning to Recognize and Grasp Objects.pdf | 213.95 KB | ||
| Volume 32 | |||
| #1 | |||
| 00 - Analytical Mean Squared Error Curves for Temporal Difference Learning.pdf | 1.48 MB | ||
| 01 - The Hierarchical Hidden Markov Model Analysis and Applications.pdf | 432.98 KB | ||
| 02 - Using Model Trees for Classification.pdf | 202.23 KB | ||
| 03 - Erratum.pdf | 57.6 KB | ||
| #2 | |||
| 00 - Guest Editors'Introduction.pdf | 35.43 KB | ||
| 01 - Robust Sensor Fusion Analysis and Application to Audio Visual Speech Recognition.pdf | 198.98 KB | ||
| 02 - Extracting Hidden Context.pdf | 231.59 KB | ||
| 03 - Tracking the Best Disjunction.pdf | 266.57 KB | ||
| 04 - Tracking the Best Expert.pdf | 424.28 KB | ||
| 05 - Statistical Mechanics of Online Learning of Drifting Concepts A Variational Approach.pdf | 299.05 KB | ||
| #3 | |||
| 00 - Localization vs. Identification of Semi-Algebraic Sets.pdf | 157.07 KB | ||
| 01 - Co-Evolution in the Successful Learning of Backgammon Strategy.pdf | 187.58 KB | ||
| 02 - Comments on “Co-Evolution in the Successful Learning of Backgammon Strategy”.pdf | 23.08 KB | ||
| 03 - Learning from Examples and Membership Queries with Structured Determinations.pdf | 393.24 KB | ||
| Volume 33 | |||
| #1 | |||
| 00 - Prequential and Cross-Validated Regression Estimation.pdf | 189.15 KB | ||
| 01 - Bayesian Landmark Learning for Mobile Robot Localization.pdf | 505.71 KB | ||
| 02 - Choice of Basis for Laplace Approximation.pdf | 76.78 KB | ||
| 03 - Self-Directed Learning and Its Relation to the VC-Dimension and to Teacher-Directed Learning.pdf | 95.78 KB | ||
| 04 - Fast Online Q(lambda).pdf | 80.14 KB | ||
| #2-3 | |||
| 00 - Guest Editorial.pdf | 31.8 KB | ||
| 01 - Learning to Improve Coordinated Actions in Cooperative Distributed Problem-Solving Environments.pdf | 285.18 KB | ||
| 02 - Learning Coordination Strategies for Cooperative Multiagent Systems.pdf | 440.96 KB | ||
| 03 - Conjectural Equilibrium in Multiagent Learning.pdf | 149.72 KB | ||
| 04 - Colearning in Differential Games.pdf | 236.33 KB | ||
| 05 - Elevator Group Control Using Multiple Reinforcement Learning Agents.pdf | 133.59 KB | ||
| 06 - Learning Team Strategies Soccer Case Studies.pdf | 173.03 KB | ||
| Volume 34 | |||
| #1-3 | |||
| 00 - Guest Editors' Introduction Machine Learning and Natural Language.pdf | 30.43 KB | ||
| 01 - Forgetting Exceptions is Harmful in Language Learning.pdf | 187.66 KB | ||
| 02 - Similarity-Based Models of Word Cooccurrence Probabilities.pdf | 169.05 KB | ||
| 03 - An Efficient, Probabilistically Sound Algorithm for Segmentation and Word Discovery.pdf | 188.53 KB | ||
| 04 - A Winnow-Based Approach to Context-Sensitive Spelling Correction.pdf | 878.92 KB | ||
| 05 - Using Decision Trees to Construct a Practical Parser.pdf | 103.01 KB | ||
| 06 - Learning to Parse Natural Language with Maximum Entropy Models.pdf | 150.44 KB | ||
| 07 - Statistical Models for Text Segmentation.pdf | 241.19 KB | ||
| 08 - An Algorithm that Learns What's in a Name.pdf | 134.83 KB | ||
| 09 - Learning Information Extraction Rules for Semi-Structured and Free Text.pdf | 210.27 KB | ||
| Volume 35 | |||
| #1 | |||
| 00 - An Experimental Evaluation of Integrating Machine Learning with Knowledge Acquisition.pdf | 91.23 KB | ||
| 01 - Concept Learning and Feature Selection Based on Square-Error Clustering.pdf | 102.8 KB | ||
| 02 - An Efficient Method To Estimate Bagging's Generalization Error.pdf | 112.96 KB | ||
| 03 - Learning to Take Actions.pdf | 146.12 KB | ||
| #2 | |||
| 00 - Learning to Reason with a Restricted View.pdf | 186.49 KB | ||
| 01 - Exploration of Multi-State Environments Local Measures and Back-Propagation of Uncertainty.pdf | 234.93 KB | ||
| 02 - Toward a Model of Intelligence as an Economy of Agents.pdf | 206.44 KB | ||
| #3 | |||
| 00 - Introducing the Special Issue of Machine Learning Selected from Papers Presented at the 1997 Conference on Computational Learning Theory, COLT '97.pdf | 12.03 KB | ||
| 01 - Universal Portfolios With and Without Transaction Costs.pdf | 75.41 KB | ||
| 02 - A Dichotomy Theorem for Learning Quantified Boolean Formulas.pdf | 90.57 KB | ||
| 03 - Estimation of Time-Varying Parameters in Statistical Models An Optimization Approach.pdf | 111.66 KB | ||
| 04 - Derandomizing Stochastic Prediction Strategies.pdf | 163.4 KB | ||
| Volume 36 | |||
| #1-2 | |||
| 00 - Guest Editors' Introduction.pdf | 16.37 KB | ||
| 01 - A Principal Components Approach to Combining Regression Estimates.pdf | 136.97 KB | ||
| 02 - Using Correspondence Analysis to Combine Classifiers.pdf | 115.07 KB | ||
| 03 - Linearly Combining Density Estimators via Stacking.pdf | 266.24 KB | ||
| 04 - Pasting Small Votes for Classification in Large Databases and On-Line.pdf | 99.92 KB | ||
| 05 - An Empirical Comparison of Voting Classification Algorithms Bagging, Boosting, and Variants.pdf | 420.09 KB | ||
| #3 | |||
| 00 - Structural Results About On-line Learning Models With and Without Queries.pdf | 174.16 KB | ||
| 01 - An Efficient Extension to Mixture Techniques for Prediction and Decision Trees.pdf | 120.18 KB | ||
| 02 - General and Efficient Multisplitting of Numerical Attributes.pdf | 379.64 KB | ||
| Volume 37 | |||
| #1 | |||
| 00 - A Theoretical and Empirical Study of a Noise-Tolerant Algorithm to Learn Geometric Patterns.pdf | 907.67 KB | ||
| 01 - Minimum Generalization Via Reflection A Fast Linear Threshold Learner.pdf | 98.1 KB | ||
| 02 - Mixed Memory Markov Models Decomposing Complex Stochastic Processes as Mixtures of Simpler Ones.pdf | 63.21 KB | ||
| 03 - Efficient Read-Restricted Monotone CNF-DNF Dualization by Learning with Membership Queries.pdf | 108.23 KB | ||
| #2 | |||
| 00 - Projection Learning.pdf | 86.44 KB | ||
| 01 - On the Sample Complexity for Nonoverlapping Neural Networks.pdf | 60.37 KB | ||
| 02 - Effective and Efficient Knowledge Base Refinement.pdf | 277.37 KB | ||
| 03 - An Introduction to Variational Methods for Graphical Models.pdf | 516.78 KB | ||
| #3 | |||
| 00 - Guest Editors' Introduction.pdf | 14.26 KB | ||
| 01 - Learning Function-Free Horn Expressions.pdf | 163.99 KB | ||
| 02 - Large Margin Classification Using the Perceptron Algorithm.pdf | 152.56 KB | ||
| 03 - Improved Boosting Algorithms Using Confidence-rated Predictions.pdf | 228.24 KB | ||
| 04 - The Complexity of Learning According to Two Models of a Drifting Environment.pdf | 106.67 KB | ||
| 05 - Some PAC-Bayesian Theorems.pdf | 45.38 KB | ||
| Volume 38 | |||
| #1-2 | |||
| 00 - Guest Editors' Introduction.pdf | 16.97 KB | ||
| 01 - Evolutionary Processes Guided by Machine Learning.pdf | 574.11 KB | ||
| 02 - Resource-bounded Relational Reasoning Induction and Deduction Through Stochastic Matching.pdf | 97.11 KB | ||
| 03 - Strategies in Combined Learning via Logic Programs.pdf | 132.21 KB | ||
| 04 - Feature Selection vs Theory Reformulation A Study of Genetic Refinement of Knowledge-based Neural Networks.pdf | 185.61 KB | ||
| 05 - Refining Numerical Constants in First Order Logic Theories.pdf | 141.92 KB | ||
| 06 - Multistrategy Theory Revision Induction and Abduction in INTHELEX.pdf | 133.22 KB | ||
| 07 - Multistrategy Discovery and Detection of Novice Programmer Errors.pdf | 133.12 KB | ||
| 08 - Multi Level Knowledge in Modeling Qualitative Physics Learning.pdf | 231.23 KB | ||
| 09 - A Multistrategy Approach to Classifier Learning from Time Series.pdf | 379.68 KB | ||
| #3 | |||
| 00 - Improved Generalization Through Explicit Optimization of Margins.pdf | 102.66 KB | ||
| 01 - Reduction Techniques for Instance-Based Learning Algorithms.pdf | 239.27 KB | ||
| 02 - Convergence Results for Single-Step On-Policy Reinforcement-Learning Algorithms.pdf | 115.78 KB | ||
| 03 - Multiple Comparisons in Induction Algorithms.pdf | 238.29 KB | ||
| Volume 39 | |||
| #1 | |||
| 00 - Nonparametric Time Series Prediction Through Adaptive Model Selection.pdf | 156.81 KB | ||
| 01 - On-line Learning and the Metrical Task System Problem.pdf | 107.04 KB | ||
| 02 - A Machine Learning Approach to POS Tagging.pdf | 226.98 KB | ||
| #2-3 | |||
| 00 - Special Issue of Machine Learning on Information Retrieval Introduction.pdf | 16.75 KB | ||
| 01 - Text Classification from Labeled and Unlabeled Documents using EM.pdf | 165.02 KB | ||
| 02 - BoosTexter A Boosting-based System for Text Categorization.pdf | 349.99 KB | ||
| 03 - Machine Learning for Information Extraction in Informal Domains.pdf | 149.91 KB | ||
| 04 - Adaptive Retrieval Agents Internalizing Local Context and Scaling up to the Web.pdf | 427.59 KB | ||
| Volume 40 | |||
| #1 | |||
| 00 - Implementation Issues in the Fourier Transform Algorithm.pdf | 343.01 KB | ||
| 01 - Constructing X-of-N Attributes for Decision Tree Learning.pdf | 433.65 KB | ||
| 02 - Upper and Lower Bounds on the Learning Curve for Gaussian Processes.pdf | 146.23 KB | ||
| #2 | |||
| 00 - Stochastic Grammatical Inference of Text Database Structure.pdf | 192.92 KB | ||
| 01 - An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees Bagging, Boosting, and Randomization.pdf | 324.06 KB | ||
| 02 - MultiBoosting A Technique for Combining Boosting and Wagging.pdf | 125.33 KB | ||
| #3 | |||
| 00 - A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms.pdf | 160.31 KB | ||
| 01 - Randomizing Outputs to Increase Prediction Accuracy.pdf | 53.33 KB | ||
| 02 - Learning to Play Chess Using Temporal Differences.pdf | 117.52 KB | ||
| 03 - A Study of Reinforcement Learning in the Continuous Case by the Means of Viscosity Solutions.pdf | 338.85 KB | ||
| Volume 41 | |||
| #1 | |||
| 00 - Technical Note Naive Bayes for Regression.pdf | 86.92 KB | ||
| 01 - Selecting Examples for Partial Memory Learning.pdf | 340.06 KB | ||
| 02 - Lazy Learning of Bayesian Rules.pdf | 469.77 KB | ||
| 03 - A Cognitive Bias Approach to Feature Selection and Weighting for Case-Based Learners.pdf | 108.85 KB | ||
| #2 | |||
| 00 - Maximizing Theory Accuracy Through Selective Reinterpretation.pdf | 207.07 KB | ||
| 01 - Learning Changing Concepts by Exploiting the Structure of Change.pdf | 112.72 KB | ||
| 02 - A Formalism for Relevance and Its Application in Feature Subset Selection.pdf | 93.24 KB | ||
| 03 - Adaptive Versus Nonadaptive Attribute-Efficient Learning.pdf | 98.07 KB | ||
| 04 - Phase Transitions in Relational Learning.pdf | 238.79 KB | ||
| #3 | |||
| 00 - Bottom-Up Induction of Feature Terms.pdf | 689.81 KB | ||
| 01 - Enlarging the Margins in Perceptron Decision Trees.pdf | 147.39 KB | ||
| 02 - Cascade Generalization.pdf | 267.56 KB | ||
| 03 - Markov Processes on Curves.pdf | 109.21 KB | ||
| Volume 42 | |||
| #1-2 | |||
| 00 - Introduction.pdf | 16.62 KB | ||
| 01 - An Experimental Comparison of Model-Based Clustering Methods.pdf | 90.76 KB | ||
| 02 - SPADE An Efficient Algorithm for Mining Frequent Sequences.pdf | 503.85 KB | ||
| 03 - Confirmation-Guided Discovery of First-Order Rules with Tertius.pdf | 140.89 KB | ||
| 04 - Supervised Versus Unsupervised Binary-Learning by Feedforward Neural Networks.pdf | 142.73 KB | ||
| 05 - Linear Concepts and Hidden Variables.pdf | 116.85 KB | ||
| 06 - Concept Decompositions for Large Sparse Text Data Using Clustering.pdf | 206.19 KB | ||
| 07 - Unsupervised Learning by Probabilistic Latent Semantic Analysis.pdf | 174.37 KB | ||
| #3 | |||
| 00 - Robust Classification for Imprecise Environments.pdf | 225.93 KB | ||
| 01 - A Learning Generalization Bound with an Application to Sparse-Representation Classifiers.pdf | 46.09 KB | ||
| 02 - On the Convergence of Temporal-Difference Learning with Linear Function Approximation.pdf | 128.57 KB | ||
| 03 - The Effect of Instance-Space Partition on Significance.pdf | 133.66 KB | ||
| 04 - Soft Margins for AdaBoost.pdf | 234.91 KB | ||
| 05 - Errata.pdf | 9.1 KB | ||
| Volume 43 | |||
| #1-2 | |||
| 00 - Guest Editorial.pdf | 13.56 KB | ||
| 01 - Relational Reinforcement Learning.pdf | 333.75 KB | ||
| 02 - Relational Instance-Based Learning with Lists and Terms.pdf | 155.15 KB | ||
| 03 - The Effect of Relational Background Knowledge on Learning of Protein Three-Dimensional Fold Signatures.pdf | 102.32 KB | ||
| 04 - Relational Learning with Statistical Predicate Invention Better Models for Hypertext.pdf | 126.41 KB | ||
| 05 - Unsupervised Learning of Word Segmentation Rules with Genetic Algorithms and Inductive Logic Programming.pdf | 250.94 KB | ||
| #3 | |||
| 00 - Guest Editor's Introduction.pdf | 12.62 KB | ||
| 01 - General Convergence Results for Linear Discriminant Updates.pdf | 197.28 KB | ||
| 02 - Relative Loss Bounds for On-Line Density Estimation with the Exponential Family of Distributions.pdf | 176.16 KB | ||
| 03 - Worst-Case Bounds for the Logarithmic Loss of Predictors.pdf | 94.23 KB | ||
| 04 - Drifting Games.pdf | 126.48 KB | ||
| 05 - An Adaptive Version of the Boost by Majority Algorithm.pdf | 128.43 KB | ||
| Volume 44 | |||
| #1-2 | |||
| 00 - Introduction.pdf | 15.58 KB | ||
| 01 - Learning DFA from Simple Examples.pdf | 153.74 KB | ||
| 02 - Learning Regular Languages from Simple Positive Examples.pdf | 136.83 KB | ||
| 03 - Stochastic Finite Learning of the Pattern Languages.pdf | 126.76 KB | ||
| 04 - Efficient Algorithms for the Inference of Minimum Size DFAs.pdf | 161.9 KB | ||
| 05 - Some Statistical-Estimation Methods for Stochastic Finite-State Transducers.pdf | 96.07 KB | ||
| 06 - Language Simplification through Error-Correcting and Grammatical Inference Techniques.pdf | 146.58 KB | ||
| 07 - Noisy Time Series Prediction using Recurrent Neural Networks and Grammatical Inference.pdf | 182.11 KB | ||
| 08 - Stochastic Inference of Regular Tree Languages.pdf | 83.07 KB | ||
| #3 | |||
| 00 - Editorial Inductive Logic Programming is Coming of Age.pdf | 17.77 KB | ||
| 01 - On Exact Learning of Unordered Tree Patterns.pdf | 188.75 KB | ||
| 02 - Parameter Estimation in Stochastic Logic Programs.pdf | 159.42 KB | ||
| 03 - Approximate Match of Rules Using Backpropagation Neural Networks.pdf | 111.89 KB | ||
| 04 - Extracting Context-Sensitive Models in Inductive Logic Programming.pdf | 198.95 KB | ||
| Volume 45 | |||
| #1 | |||
| 00 - Random Forests.pdf | 176.89 KB | ||
| 01 - On the VC Dimension of Bounded Margin Classifiers.pdf | 66.63 KB | ||
| 02 - Iterated Phantom Induction A Knowledge-Based Approach to Learning Control.pdf | 174.65 KB | ||
| 03 - Optimizing Epochal Evolutionary Search Population-Size Dependent Theory.pdf | 314.83 KB | ||
| 04 - Optimizing Epochal Evolutionary Search Population-Size Dependent Theory.pdf | 314.83 KB | ||
| #2 | |||
| 00 - Learning with Maximum-Entropy Distributions.pdf | 142.11 KB | ||
| 01 - Robust Learning with Missing Data.pdf | 153.32 KB | ||
| 02 - A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems.pdf | 94.27 KB | ||
| 03 - Predicting the Future of Discrete Sequences from Fractal Representations of the Past.pdf | 736.88 KB | ||
| 04 - Reinterpreting the Category Utility Function.pdf | 60.79 KB | ||
| #3 | |||
| 00 - Efficient Construction of Regression Trees with Range and Region Splitting.pdf | 196.9 KB | ||
| 01 - Using Iterated Bagging to Debias Regressions.pdf | 67.59 KB | ||
| 02 - Accelerating EM for Large Databases.pdf | 303.89 KB | ||
| 03 - Relative Loss Bounds for Multidimensional Regression Problems.pdf | 171.93 KB | ||
| Volume 46 | |||
| #1-3 | |||
| 00 - Editorial Kernel Methods Current Research and Future Directions.pdf | 28.43 KB | ||
| 01 - On a Connection between Kernel PCA and Metric Multidimensional Scaling.pdf | 58.51 KB | ||
| 02 - Bayesian Methods for Support Vector Machines Evidence and Predictive Class Probabilities.pdf | 691.23 KB | ||
| 03 - Hierarchical Learning in Polynomial Support Vector Machines.pdf | 118.22 KB | ||
| 04 - A Probabilistic Framework for SVM Regression and Error Bar Estimation.pdf | 109.87 KB | ||
| 05 - On the Dual Formulation of Regularized Linear Systems with Convex Risks.pdf | 203.81 KB | ||
| 06 - Choosing Multiple Parameters for Support Vector Machines.pdf | 233.31 KB | ||
| 07 - Training Invariant Support Vector Machines.pdf | 572.25 KB | ||
| 08 - Support Vector Machines for Classification in Nonstandard Situations.pdf | 71 KB | ||
| 09 - An Analytic Center Machine.pdf | 179.46 KB | ||
| 10 - Linear Programming Boosting via Column Generation.pdf | 303.31 KB | ||
| 11 - Large Scale Kernel Regression via Linear Programming.pdf | 114.85 KB | ||
| 12 - Efficient SVM Regression Training with SMO.pdf | 108.85 KB | ||
| 13 - A Simple Decomposition Method for Support Vector Machines.pdf | 142.09 KB | ||
| 14 - Feasible Direction Decomposition Algorithms for Training Support Vector Machines.pdf | 210.38 KB | ||
| 15 - Convergence of a Generalized SMO Algorithm for SVM Classifier Design.pdf | 65.38 KB | ||
| 15 - The Relaxed Online Maximum Margin Algorithm.pdf | 141.47 KB | ||
| 16 - Gene Selection for Cancer Classification using Support Vector Machines.pdf | 546.35 KB | ||
| 17 - Text Categorization with Support Vector Machines. How to Represent Texts in Input Space.pdf | 306.72 KB | ||
| Volume 47 | |||
| #1 | |||
| 00 - Editorial.pdf | 14.93 KB | ||
| 01 - Maximum Likelihood Estimation of Mixture Densities for Binned and Truncated Multivariate Data.pdf | 200.05 KB | ||
| 02 - A New Nonparametric Pairwise Clustering Algorithm Based on Iterative Estimation of Distance Profiles.pdf | 341.88 KB | ||
| 03 - Learning Recursive Bayesian Multinets for Data Clustering by Means of Constructive Induction.pdf | 162.91 KB | ||
| 04 - Bayesian Clustering by Dynamics.pdf | 200.95 KB | ||
| #2-3 | |||
| 00 - Guest Editor's Introduction.pdf | 13.93 KB | ||
| 01 - PAC Analogues of Perceptron and Winnow Via Boosting the Margin.pdf | 122.1 KB | ||
| 02 - Boosting Methods for Regression.pdf | 299.15 KB | ||
| 03 - On the Learnability and Design of Output Codes for Multiclass Problems.pdf | 180.77 KB | ||
| 04 - Finite-time Analysis of the Multiarmed Bandit Problem.pdf | 160.66 KB | ||
| 05 - Theory Revision with Queries DNF Formulas.pdf | 200.15 KB | ||
| Volume 48 | |||
| #1-3 | |||
| 00 - Guest Introduction Special Issue on New Methods for Model Selection and Model Combination.pdf | 17.35 KB | ||
| 01 - Model Selection for Small Sample Regression.pdf | 418.07 KB | ||
| 02 - Theoretical and Experimental Evaluation of the Subspace Information Criterion.pdf | 1.18 MB | ||
| 03 - Metric-Based Methods for Adaptive Model Selection and Regularization.pdf | 167.31 KB | ||
| 04 - Model Selection and Error Estimation.pdf | 216.48 KB | ||
| 05 - Statistical Properties and Adaptive Tuning of Support Vector Machines.pdf | 142.71 KB | ||
| 06 - Structural Modelling with Sparse Kernels.pdf | 359.58 KB | ||
| 07 - Kernel Matching Pursuit.pdf | 267.79 KB | ||
| 08 - Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces.pdf | 159.77 KB | ||
| 09 - On the Existence of Linear Weak Learners and Applications to Boosting.pdf | 184.78 KB | ||
| 10 - Logistic Regression, AdaBoost and Bregman Distances.pdf | 192.75 KB | ||
| 11 - Estimating Generalization Error on Two-Class Datasets Using Out-of-Bag Estimates.pdf | 51.67 KB | ||
| 12 - Bayesian Treed Models.pdf | 182.92 KB | ||
| 13 - Decision Region Connectivity Analysis A Method for Analyzing High-Dimensional Classifiers.pdf | 775.93 KB | ||
| Volume 49 | |||
| #1 | |||
| 00 - The Lagging Anchor Algorithm Reinforcement Learning in Two-Player Zero-Sum Games with Imperfect Information.pdf | 178.8 KB | ||
| 01 - A Simple Method for Generating Additive Clustering Models with Limited Complexity.pdf | 104.35 KB | ||
| 02 - Feature Generation Using General Constructor Functions.pdf | 218.67 KB | ||
| #2-3 | |||
| 00 - Introduction.pdf | 20.46 KB | ||
| 01 - Reinforcement Learning for Call Admission Control and Routing under Quality of Service Constraints in Multimedia Networks.pdf | 446.49 KB | ||
| 02 - Building a Basic Block Instruction Scheduler with Reinforcement Learning and Rollouts.pdf | 240.13 KB | ||
| 03 - Kernel-Based Reinforcement Learning.pdf | 106.83 KB | ||
| 04 - On Average Versus Discounted Reward Temporal-Difference Learning.pdf | 68.03 KB | ||
| 05 - A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes.pdf | 101.78 KB | ||
| 06 - Near-Optimal Reinforcement Learning in Polynomial Time.pdf | 116.13 KB | ||
| 07 - Technical Update Least-Squares Temporal Difference Learning.pdf | 133.15 KB | ||
| 08 - Continuous-Action Q-Learning.pdf | 229.31 KB | ||
| 09 - Risk-Sensitive Reinforcement Learning.pdf | 121.57 KB | ||
| 10 - Variable Resolution Discretization in Optimal Control.pdf | 931.5 KB | ||
| 11 - Structure in the Space of Value Functions.pdf | 650.1 KB | ||
| Volume 50 | |||
| #1-2 | |||
| 00 - An Introduction to MCMC for Machine Learning.pdf | 414.31 KB | ||
| 01 - EM, MCMC, and Chain Flipping for Structure from Motion with Unknown Correspondence.pdf | 452.6 KB | ||
| 02 - Mixtures of Factor Analysers. Bayesian Estimation and Inference by Stochastic Simulation.pdf | 133.3 KB | ||
| 03 - Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks.pdf | 1.76 MB | ||
| 04 - Improving Markov Chain Monte Carlo Model Search for Data Mining.pdf | 303.67 KB | ||
| 05 - Classification with Bayesian MARS.pdf | 104.56 KB | ||
| 06 - Population Markov Chain Monte Carlo.pdf | 298.75 KB | ||
| 07 - A Noninformative Prior for Neural Networks.pdf | 83.63 KB | ||
| #3 | |||
| 00 - Introduction.pdf | 21.59 KB | ||
| 01 - Combining Classifiers with Meta Decision Trees.pdf | 149.3 KB | ||
| 02 - Ranking Learning Algorithms Using IBL and Meta-Learning on Accuracy and Time Results.pdf | 114.27 KB | ||
| 03 - Learning to Match the Schemas of Data Sources A Multistrategy Approach.pdf | 541.36 KB | ||
| 04 - Clustered Partial Linear Regression.pdf | 139.34 KB | ||
| 05 - Complete Mining of Frequent Patterns from Graphs Mining Graph Data.pdf | 637.97 KB | ||
| Volume 51 | |||
| #1 | |||
| 00 - PAC-Bayesian Stochastic Model Selection.pdf | 87.35 KB | ||
| 01 - Relative Loss Bounds for Temporal-Difference Learning.pdf | 150.97 KB | ||
| 02 - Polynomial-Time Decomposition Algorithms for Support Vector Machines.pdf | 105.3 KB | ||
| 03 - An Empirical Study of Two Approaches to Sequence Learning for Anomaly Detection.pdf | 245.11 KB | ||
| #2 | |||
| 00 - Variance and Bias for General Loss Functions.pdf | 87.5 KB | ||
| 01 - Learning from Different Teachers.pdf | 129.96 KB | ||
| 02 - Microchoice Bounds and Self Bounding Learning Algorithms.pdf | 79.51 KB | ||
| 03 - Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy.pdf | 445.01 KB | ||
| #3 | |||
| 00 - Guest Editor's Introduction.pdf | 16.33 KB | ||
| 01 - Boosting and Hard-Core Set Construction.pdf | 140.25 KB | ||
| 02 - Potential-Based Algorithms in On-Line Prediction and Game Theory.pdf | 127.69 KB | ||
| 03 - Estimating the Optimal Margins of Embeddings in Euclidean Half Spaces.pdf | 104.33 KB | ||
| 04 - A Theoretical Analysis of Query Selection for Collaborative Filtering.pdf | 124.97 KB | ||
| Volume 52 | |||
| #1-2 | |||
| 00 - Editorial Methods in Functional Genomics.pdf | 26.43 KB | ||
| 01 - Relation Between Permutation-Test P Values and Classifier Error Estimates.pdf | 147.7 KB | ||
| 02 - Boosting and Microarray Data.pdf | 65.49 KB | ||
| 03 - Analysis and Visualization of Gene Expression Microarray Data in Human Cancer Using Self-Organizing Maps.pdf | 1012.49 KB | ||
| 04 - Self-Organizing Latent Lattice Models for Temporal Gene Expression Profiling.pdf | 404.43 KB | ||
| 05 - Consensus Clustering A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data.pdf | 845.17 KB | ||
| 06 - Inclusion of Textual Documentation in the Analysis of Multidimensional Data Sets Application to Gene Expression Data.pdf | 167.9 KB | ||
| 07 - On Learning Gene Regulatory Networks Under the Boolean Network Model.pdf | 122.4 KB | ||
| 08 - External Control in Markovian Genetic Regulatory Networks.pdf | 105.16 KB | ||
| #3 | |||
| 00 - Tree Induction for Probability-Based Ranking.pdf | 106.72 KB | ||
| 01 - Feature Weighting in k-Means Clustering.pdf | 119.27 KB | ||
| 02 - Inference for the Generalization Error.pdf | 454.45 KB | ||
| Volume 53 | |||
| #1-2 | |||
| 00 - A Microchoice Bound for Continuous-Space Classification Algorithms.pdf | 86.94 KB | ||
| 01 - Theoretical and Empirical Analysis of ReliefF and RReliefF.pdf | 404.78 KB | ||
| 02 - Online Ensemble Learning An Empirical Study.pdf | 1.37 MB | ||
| 03 - Programming by Demonstration Using Version Space Algebra.pdf | 444.59 KB | ||
| 04 - Improved Rooftop Detection in Aerial Images with Machine Learning.pdf | 213.63 KB | ||
| #3 | |||
| 00 - Learning from Cluster Examples.pdf | 284.52 KB | ||
| 01 - Implications of the Dirichlet Assumption for Discretization of Continuous Variables in Naive Bayesian Classifiers.pdf | 163.14 KB | ||
| 02 - The Robustness of the p-Norm Algorithms.pdf | 202.26 KB | ||
| Volume 54 | |||
| #1 | |||
| 00 - Benchmarking Least Squares Support Vector Machine Classifiers.pdf | 225.34 KB | ||
| 01 - Projection Support Vector Machine Generators.pdf | 61.38 KB | ||
| 02 - Support Vector Data Description.pdf | 275.05 KB | ||
| 03 - A Hybrid Classification Model.pdf | 329.95 KB | ||
| #2 | |||
| 00 - DeEPs A New Instance-Based Lazy Discovery and Classification System.pdf | 116.62 KB | ||
| 01 - Selective Sampling for Nearest Neighbor Classifiers.pdf | 207.26 KB | ||
| 02 - Active Sampling for Class Probability Estimation and Ranking.pdf | 157.96 KB | ||
| #3 | |||
| 00 - Introduction to the Special Issue on Meta-Learning.pdf | 32.1 KB | ||
| 01 - A Meta-Learning Method to Select the Kernel Width in Support Vector Regression.pdf | 88.46 KB | ||
| 02 - Optimal Ordered Problem Solver.pdf | 275.58 KB | ||
| 03 - Is Combining Classifiers with Stacking Better than Selecting the Best One.pdf | 76.93 KB | ||
| 04 - On Data and Algorithms Understanding Inductive Performance.pdf | 513.12 KB | ||
| Volume 55 | |||
| #1 | |||
| 00 - A Reinforcement Learning Algorithm Based on Policy Iteration for Average Reward.pdf | 168.78 KB | ||
| 01 - Classification Using F-Machines and Constructive Function Approximation.pdf | 104.45 KB | ||
| 02 - Khiops A Statistical Discretization Method of Continuous Attributes.pdf | 80.21 KB | ||
| 03 - Leave One Out Error, Stability, and Generalization of Voting Combinations of Classifiers.pdf | 155.12 KB | ||
| #2 | |||
| 00 - Guest Editors’ Introduction.pdf | 14.76 KB | ||
| 01 - Induction as Consequence Finding.pdf | 120.68 KB | ||
| 02 - Fast Theta-Subsumption with Constraint Satisfaction Algorithms.pdf | 447.15 KB | ||
| 03 - Inducing Multi-Level Association Rules from Multiple Relations.pdf | 211.91 KB | ||
| #3 | |||
| 00 - Functional Trees.pdf | 294.44 KB | ||
| 01 - Bagging Equalizes Influence.pdf | 161.93 KB | ||
| 02 - How to Better Use Expert Advice.pdf | 264.04 KB | ||
| 03 - Empirical and Theoretical Comparisons of Selected Criterion Functions for Document Clustering.pdf | 151.69 KB | ||
| Volume 56 | |||
| #1-3 | |||
| 00 - Introduction Special Issue on Theoretical Advances in Data Clustering.pdf | 20.51 KB | ||
| 01 - Clustering Large Graphs via the Singular Value Decomposition.pdf | 137.11 KB | ||
| 02 - Optimal Time Bounds for Approximate Clustering.pdf | 149.05 KB | ||
| 03 - A k-Median Algorithm with Running Time Independent of Data Size.pdf | 169.11 KB | ||
| 04 - Correlation Clustering.pdf | 164.55 KB | ||
| 05 - A New Conceptual Clustering Framework.pdf | 243.67 KB | ||
| 06 - Subquadratic Approximation Algorithms for Clustering Problems in High Dimensional Spaces.pdf | 95.31 KB | ||
| 07 - Central Clustering of Attributed Graphs.pdf | 437.21 KB | ||
| 08 - Semi-Supervised Learning on Riemannian Manifolds.pdf | 175.67 KB | ||
| Volume 57 | |||
| #1-2 | |||
| 00 - Decision Support Through Subgroup Discovery Three Case Studies and the Lessons Learned.pdf | 118.72 KB | ||
| 01 - Editorial Data Mining Lessons Learned.pdf | 35.93 KB | ||
| 02 - Introduction Lessons Learned from Data Mining Applications and Collaborative Problem Solving.pdf | 89.55 KB | ||
| 03 - Mining Skewed and Sparse Transaction Data for Personalized Shopping Recommendation.pdf | 1.45 MB | ||
| 04 - Multi-Relational Learning, Text Mining, and Semi-Supervised Learning for Functional Genomics.pdf | 196.37 KB | ||
| 05 - Lessons and Challenges from Mining Retail E-Commerce Data.pdf | 552.62 KB | ||
| 06 - Learning to Decode Cognitive States from Brain Images.pdf | 339.73 KB | ||
| 07 - A Bias-Variance Analysis of a Real World Learning Problem The CoIL Challenge 2000.pdf | 307.29 KB | ||
| #3 | |||
| 00 - Guest Editorial.pdf | 17.07 KB | ||
| 01 - Kernels and Distances for Structured Data.pdf | 185.35 KB | ||
| 02 - Naive Bayesian Classification of Structured Data.pdf | 202.21 KB | ||
| 03 - Integrating Guidance into Relational Reinforcement Learning.pdf | 282.45 KB | ||
| 04 - Compact Representation of Knowledge Bases in Inductive Logic Programming.pdf | 342.63 KB | ||
| Volume 58 | |||
| #1 | |||
| 00 - Not So Naive Bayes Aggregating One-Dependence Estimators.pdf | 98.35 KB | ||
| 01 - On the Application of ROC Analysis to Predict Classification Performance Under Varying Class Distributions.pdf | 49.96 KB | ||
| 02 - A Response to Webb and Ting’s On the Application of ROC Analysis to Predict Classification Performance Under Varying Class Distributions.pdf | 37.62 KB | ||
| 03 - ROC ‘n’ Rule Learning—Towards a Better Understanding of Covering Algorithms.pdf | 315.33 KB | ||
| 04 - Case Based Imprecision Estimates for Bayes Classifiers with the Bayesian Bootstrap.pdf | 95.25 KB | ||
| #2-3 | |||
| 00 - Guest Editorial.pdf | 43.45 KB | ||
| 01 - Evolutionary Rule Mining in Time Series Databases.pdf | 812.43 KB | ||
| 02 - Automatic Feature Extraction for Classifying Audio Data.pdf | 533.83 KB | ||
| 03 - Clustering Time Series with Clipped Data.pdf | 450.64 KB | ||
| 04 - Classification of Multivariate Time Series and Structured Data Using Constructive Induction.pdf | 2.48 MB | ||
| 05 - Principle Components and Importance Ranking of Distributed Anomalies.pdf | 232.26 KB | ||
| 06 - Fast and Exact Warping of Time Series Using Adaptive Segmental Approximations.pdf | 3.97 MB | ||
| 07 - Discovery of Time-Series Motif from Multi-Dimensional Data Based on MDL Principle.pdf | 1.29 MB | ||
| 08 - Elastic Translation Invariant Matching of Trajectories.pdf | 1.6 MB | ||
| Volume 59 | |||
| #1-2 | |||
| 00 - Evolving Soccer Keepaway Players Through Task Decomposition.pdf | 151.16 KB | ||
| 01 - A Reinforcement Learning Scheme for a Partially-Observable Multi-Agent Game.pdf | 445.43 KB | ||
| 02 - PAC-Bayesian Compression Bounds on the Prediction Error of Learning Algorithms for Classification.pdf | 121.7 KB | ||
| 03 - Multicategory Proximal Support Vector Machine Classifiers.pdf | 408.2 KB | ||
| 04 - Maximizing Agreements with One-Sided Error with Applications to Heuristic Learning.pdf | 213.59 KB | ||
| 05 - Internal Regret in On-Line Portfolio Selection.pdf | 161.61 KB | ||
| 06 - Logistic Model Trees.pdf | 299.71 KB | ||
| #3 | |||
| 00 - Editorial.pdf | 13.6 KB | ||
| 01 - Learning Bayesian Network Classifiers Searching in a Space of Partially Directed Acyclic Graphs.pdf | 119.72 KB | ||
| 02 - Latent Classification Models.pdf | 185.08 KB | ||
| 03 - On Discriminative Bayesian Network Classifiers and Logistic Regression.pdf | 249.9 KB | ||
| 04 - Structural Extension to Logistic Regression Discriminative Parameter Learning of Belief Net Classifiers.pdf | 392.15 KB | ||
| 05 - TAN Classifiers Based on Decomposable Distributions.pdf | 251.59 KB | ||
| Volume 60 | |||
| #1-3 | |||
| 00 - Guest Editors Introduction Machine Learning in Speech and Language Technologies.pdf | 30.89 KB | ||
| 01 - Support Vector Learning for Semantic Argument Classification.pdf | 142.9 KB | ||
| 02 - Filtering-Ranking Perceptron Learning for Partial Parsing.pdf | 189.59 KB | ||
| 03 - Ranking and Reranking with Perceptron.pdf | 128.61 KB | ||
| 04 - Online Multiclass Learning with k-Way Limited Feedback and an Application to Utterance Classification.pdf | 118.14 KB | ||
| 05 - Moment Kernels for Regular Distributions.pdf | 116.64 KB | ||
| 06 - Maximum Entropy Modeling A Suitable Framework to Learn Context-Dependent Lexicon Models for Statistical Machine Translation.pdf | 129.37 KB | ||
| 07 - Maximum Entropy Models with Inequality Constraints A Case Study on Text Categorization.pdf | 241.78 KB | ||
| 08 - A Neural Syntactic Language Model.pdf | 206.78 KB | ||
| 09 - Combining Statistical Language Models via the Latent Maximum Entropy Principle.pdf | 138.68 KB | ||
| 10 - Corpus-based Learning of Analogies and Semantic Relations.pdf | 207.19 KB | ||
| Volume 61 | |||
| #1-3 | |||
| 00 - Incremental Learning of Linear Model Trees.pdf | 986.49 KB | ||
| 01 - Single-Class Classification with Mapping Convergence.pdf | 1.01 MB | ||
| 02 - The Synergy Between PAV and AdaBoost.pdf | 613.93 KB | ||
| 03 - A High Order Cumulants Based Multivariate Nonlinear Blind Source Separation Method.pdf | 1.19 MB | ||
| 04 - Combined SVM-Based Feature Selection and Classification.pdf | 302.4 KB | ||
| 05 - A Fast Dual Algorithm for Kernel Logistic Regression.pdf | 133.49 KB | ||
| 06 - Generalized Low Rank Approximations of Matrices.pdf | 599.37 KB | ||
| Volume 62 | |||
| #1-2 | |||
| 00 - Introduction to the special issue on multi-relational data mining and statistical relational learning.pdf | 42.08 KB | ||
| 01 - PRL A probabilistic relational language.pdf | 555.4 KB | ||
| 02 - Propositionalization-based relational subgroup discovery with RSD.pdf | 2.15 MB | ||
| 03 - Distribution-based aggregation for relational learning with identifier attributes.pdf | 1.75 MB | ||
| 04 - Markov logic networks.pdf | 1.28 MB | ||
| 05 - XRules An effective algorithm for structural classification of XML data.pdf | 2.02 MB | ||
| #3 | |||
| 00 - On Mining Summaries by Objective Measures of Interestingness.pdf | 482.67 KB | ||
| 01 - A Unified View on Clustering Binary Data.pdf | 199.21 KB | ||
| 02 - Additive Regularization Trade-Off Fusion of Training and Validation Levels in Kernel Methods.pdf | 1.39 MB | ||
| Volume 63 | |||
| #1 | |||
| 00 - Extremely randomized trees.pdf | 2.49 MB | ||
| 01 - Data-guided model combination by decomposition and aggregation.pdf | 1.35 MB | ||
| 02 - Model-based transductive learning of the kernel matrix.pdf | 772.26 KB | ||
| #2 | |||
| 00 - Asymptotic analysis of temporal-difference learning algorithms with constant step-sizes.pdf | 165.17 KB | ||
| 01 - Classification using Hierarchical Naïve Bayes models.pdf | 195.24 KB | ||
| 02 - An algorithmic theory of learning Robust concepts and random projection.pdf | 152.45 KB | ||
| 03 - Classification-based objective functions.pdf | 858.4 KB | ||
| 04 - Erratum.pdf | 27.61 KB | ||
| #3 | |||
| 00 - Machine learning and games.pdf | 91.95 KB | ||
| 01 - Adaptive game AI with dynamic scripting.pdf | 541.98 KB | ||
| 02 - Universal parameter optimisation in games based on SPSA.pdf | 313.32 KB | ||
| 03 - Learning to bid in bridge.pdf | 2.19 MB | ||
| 04 - Learning long-term chess strategies from databases.pdf | 151.03 KB | ||
| Volume 64 | |||
| #1-3 | |||
| 00 - Foreword.pdf | 79.11 KB | ||
| 01 - Relational IBL in classical music.pdf | 241.02 KB | ||
| 02 - Mathematical applications of inductive logic programming.pdf | 300.41 KB | ||
| 03 - Quantitative pharmacophore models with inductive logic programming.pdf | 233.51 KB | ||
| 04 - Graph kernels and Gaussian processes for relational reinforcement learning.pdf | 321.37 KB | ||
| 05 - Complexity parameters for first order classes.pdf | 243.76 KB | ||
| 06 - Guest editorial.pdf | 82.88 KB | ||
| 07 - First order random forests Learning relational classifiers with complex aggregates.pdf | 294.67 KB | ||
| 08 - Randomised restarted search in ILP.pdf | 890.22 KB | ||
| 09 - Application of abductive ILP to learning metabolic network inhibition from temporal data.pdf | 416.69 KB | ||
| 10 - Gleaner Creating ensembles of first-order clauses to improve recall-precision curves.pdf | 351.19 KB | ||
| 11 - Learning goal hierarchies from structured observations and expert annotations.pdf | 290.08 KB | ||
| Volume 65 | |||
| #1 | |||
| 00 - Semi-supervised model-based document clustering A comparative study.pdf | 339.46 KB | ||
| 01 - The max-min hill-climbing Bayesian network structure learning algorithm.pdf | 590.58 KB | ||
| 02 - Kernels as features On kernels, margins, and low-dimensional mappings.pdf | 183.29 KB | ||
| 03 - Cost curves An improved method for visualizing classifier performance.pdf | 465.74 KB | ||
| 04 - MODL A Bayes optimal discretization method for continuous attributes.pdf | 591.68 KB | ||
| 05 - Adaptive stepsizes for recursive estimation with applications in approximate dynamic programming.pdf | 565.46 KB | ||
| 06 - Learning decomposable markov networks in pseudo-independent domains with local evaluation.pdf | 302.38 KB | ||
| 07 - An efficient top-down search algorithm for learning Boolean networks of gene expression.pdf | 188.94 KB | ||
| 08 - An analysis of diversity measures.pdf | 384.7 KB | ||
| 09 - Training a reciprocal-sigmoid classifier by feature scaling-space.pdf | 556.72 KB | ||
| 10 - A suffix tree approach to anti-spam email filtering.pdf | 287.62 KB | ||
| #2-3 | |||
| 00 - Guest editorial Machine learning in and for music.pdf | 80.45 KB | ||
| 01 - Guest Editorial Machine learning in and for music.pdf | 57.5 KB | ||
| 02 - Melodic analysis with segment classes.pdf | 145.46 KB | ||
| 03 - Modeling, analyzing, and synthesizing expressive piano performance with graphical models.pdf | 363.25 KB | ||
| 04 - Aligning music audio with symbolic scores using a hybrid graphical model.pdf | 297.24 KB | ||
| 05 - A case based approach to expressivity-aware tempo transformation.pdf | 293.16 KB | ||
| 06 - Classification-based melody transcription.pdf | 377.62 KB | ||
| 07 - Bootstrap learning for accurate onset detection.pdf | 237.09 KB | ||
| 08 - Aggregate features and ADA BOOST for music classification.pdf | 210.94 KB | ||
| 09 - Using duration models to reduce fragmentation in audio segmentation.pdf | 737.85 KB | ||
| Volume 66 | |||
| #1 | |||
| 00 - Guest editorial to the special issue on grammatical inference.pdf | 98.97 KB | ||
| 01 - LARS A learning algorithm for rewriting systems.pdf | 337.67 KB | ||
| 02 - Interactive learning of node selecting tree transducer.pdf | 627.77 KB | ||
| 03 - Learning finite-state models for machine translation.pdf | 258.32 KB | ||
| 04 - Learning deterministic context free grammars The Omphalos competition.pdf | 227.27 KB | ||
| #2-3 | |||
| 00 - Guest editorial Learning theory.pdf | 87.56 KB | ||
| 01 - Suboptimal behavior of Bayes and MDL in classification under misspecification.pdf | 352.78 KB | ||
| 02 - A new PAC bound for intersection-closed concept classes.pdf | 217.89 KB | ||
| 03 - Model selection by bootstrap penalization for classification.pdf | 408.63 KB | ||
| 04 - Optimal dyadic decision trees.pdf | 486.07 KB | ||
| 05 - A framework for statistical clustering with constant time approximation algorithms for K-median and K-means clustering.pdf | 213.06 KB | ||
| 06 - Statistical properties of kernel principal component analysis.pdf | 382.91 KB | ||
| 07 - Statistical properties of kernel principal component analysis.pdf | 22.52 KB | ||
| 08 - Feature space perspectives for learning the kernel.pdf | 289.56 KB | ||
| 09 - Improved second-order bounds for prediction with expert advice.pdf | 359.27 KB | ||
| Volume 67 | |||
| #1-2 | |||
| 00 - Introduction to the special issue on learning and computational game theory.pdf | 2.4 MB | ||
| 01 - Slow emergence of cooperation for win-stay lose-shift on trees.pdf | 2.67 MB | ||
| 02 - AWESOME A general multiagent learning algorithm that converges in self-play and learns a best response against stationary opponents.pdf | 2.6 MB | ||
| 03 - A general criterion and an algorithmic framework for learning in multi-agent systems.pdf | 790.42 KB | ||
| 04 - Online calibrated forecasts Memory efficiency versus universality for learning in games.pdf | 3.02 MB | ||
| 05 - Bidding agents for online auctions with hidden bids.pdf | 2.63 MB | ||
| 06 - Learning payoff functions in infinite games.pdf | 2.64 MB | ||
| #3 | |||
| 00 - Density estimation with stagewise optimization of the empirical risk.pdf | 334.23 KB | ||
| 01 - Stability of Unstable Learning Algorithms.pdf | 272.36 KB | ||
| 02 - Multi-Class Learning by Smoothed Boosting.pdf | 344.33 KB | ||
| Volume 68 | |||
| #1 | |||
| 00 - Discovering Significant Patterns.pdf | 796.16 KB | ||
| 01 - Invariant kernel functions for pattern analysis and machine learning.pdf | 719.47 KB | ||
| 02 - Predictive Modelling of Heterogeneous Sequence Collections by Topographic Ordering of Histories.pdf | 1.02 MB | ||
| 03 - PAV and the ROC convex hull.pdf | 212.09 KB | ||
| Volume 70 | |||
| #1 | |||
| article1.pdf | 596.86 KB | ||
| article2.pdf | 521.48 KB | ||
| article3.pdf | 776.04 KB | ||
| article4.pdf | 665.32 KB | ||
| Volume 72 | |||
| #3 | |||
| article1.pdf | 107.24 KB | ||
| article2.pdf | 446.91 KB | ||
| article3.pdf | 664.66 KB | ||
| article4.pdf | 657.91 KB | ||
| article5.pdf | 618.78 KB | ||
| article6.pdf | 405.53 KB | ||
| article7.pdf | 469.03 KB | ||
| article8.pdf | 351.2 KB | ||
| ▲ 890 total files | |||
Description
Книги и журналы » Точные, естественные и инженерные науки » Журналы: научные, научно-популярные, радио и др.
Machine learning
Год выпуска: 2009
Издательство: Springer
ISSN: 1573-0565
Формат: PDF
Качество: eBook (изначально компьютерное)
Язык: Английский
Описание: "Изучение машин" является международным форумом для исследования вычислительных подходов к изучению. Журнал публикует статьи, сообщая о независимых результатах относительно широкого диапазона изучения, применяя методы ко множеству изучаемых проблем.
Выделяются статьи , которые описывают исследование относительно проблем и методов, прикладное исследование, и проблемы методологии исследования. Статьи, вносящие претензии об изучении проблем или методов, оказывают твердую поддержку через эмпирические исследования, теоретический анализ, или сравнение с психологическими явлениями. Прикладные стаьи показывают, как применить изучение методов, чтобы решить важные прикладные проблемы. Бумаги методологии исследования улучшаются, как машина, изучая исследование проводится.
Все публикации описывают свидетельство поддержки способами, которые могут быть проверены или копироваться другими исследователями. Работы также детализируют компонент изучения ясно и рассматривают предположения относительно представления знания и задачи работы.
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