MLJ 1994

46 papers

A Polynomial Approach to the Constructive Induction of Structural Knowledge Jörg-Uwe Kietz, Katharina Morik
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A Theory for Memory-Based Learning Jyh-Han Lin, Jeffrey Scott Vitter
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Acquiring and Combining Overlapping Concepts Joel D. Martin, Dorrit Billman
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Acquisition of Children's Addition Strategies: A Model of Impasse-Free, Knowledge-Level Learning Randolph M. Jones, Kurt VanLehn
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Algebraic Reasoning About Reactions: Discovery of Conserved Properties in Particle Physics Raúl E. Valdés-Pérez
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Algorithms and Lower Bounds for On-Line Learning of Geometrical Concepts Wolfgang Maass, György Turán
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An Upper Bound on the Loss from Approximate Optimal-Value Functions Satinder P. Singh, Richard C. Yee
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Approximation and Estimation Bounds for Artificial Neural Networks Andrew R. Barron
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Associative Reinforcement Learning: A Generate and Test Algorithm Leslie Pack Kaelbling
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Associative Reinforcement Learning: Functions in K-DNF Leslie Pack Kaelbling
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Asynchronous Stochastic Approximation and Q-Learning John N. Tsitsiklis
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Bias in Information-Based Measures in Decision Tree Induction Allan P. White, Wei Zhong Liu
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Bounds on the Sample Complexity of Bayesian Learning Using Information Theory and the VC Dimension David Haussler, Michael J. Kearns, Robert E. Schapire
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Case-Based Learning: Predictive Features in Indexing Colleen M. Seifert, Kristian J. Hammond, Hollyn M. Johnson, Timothy M. Converse, Thomas F. McDoughal, Scott W. Vanderstoep
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Children, Adults, and Machines as Discovery Systems David Klahr
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Combining Symbolic and Neural Learning Jude W. Shavlik
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Complexity-Based Induction Darrell Conklin, Ian H. Witten
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Concept Formation During Interactive Theory Revision Stefan Wrobel
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Discrete Sequence Prediction and Its Applications Philip D. Laird, Ronald Saul
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Explicit Representation of Concept Negation Jean-Francois Puget
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Flattening and Saturation: Two Representation Changes for Generalization Céline Rouveirol
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Generalizing Version Spaces Haym Hirsh
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Higher-Order Neural Networks Applied to 2D and 3D Object Recognition Lilly Spirkovska, Max B. Reid
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Hypothesis-Driven Constructive Induction in AQ17-HCI: A Method and Experiments Janusz Wnek, Ryszard S. Michalski
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Improving Generalization with Active Learning David A. Cohn, Les E. Atlas, Richard E. Ladner
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Incremental Abductive EBL William W. Cohen
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Learning Nonoverlapping Perceptron Networks from Examples and Membership Queries Thomas R. Hancock, Mostefa Golea, Mario Marchand
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Learning Probabilistic Read-Once Formulas on Product Distributions Robert E. Schapire
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Machine Learning and Qualitative Reasoning Ivan Bratko
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Modeling Cognitive Development on Balance Scale Phenomena Thomas R. Shultz, Denis Mareschal, William C. Schmidt
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Neural Network-Based Vision for Precise Control of a Walking Robot Dean Pomerleau
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On-Line Learning from Search Failures Neeraj Bhatnagar, Jack Mostow
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On-Line Learning of Rectangles and Unions of Rectangles Zhixiang Chen, Wolfgang Maass
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Quantifying Prior Determination Knowledge Using the PAC Learning Model Sridhar Mahadevan, Prasad Tadepalli
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Randomly Fallible Teachers: Learning Monotone DNF with an Incomplete Membership Oracle Dana Angluin, Donna K. Slonim
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Simulating the Child's Acquisition of the Lexicon and Syntax-Experiences with Babel Rick Kazman
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Statistical Methods for Analyzing Speedup Learning Experiments Oren Etzioni, Ruth Etzioni
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TD(lambda) Converges with Probability 1 Peter Dayan, Terrence J. Sejnowski
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The Importance of Attribute Selection Measures in Decision Tree Induction Wei Zhong Liu, Allan P. White
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The Learnability of Description Logics with Equality Constraints William W. Cohen, Haym Hirsh
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The Power of Self-Directed Learning Sally A. Goldman, Robert H. Sloan
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Toward an Ideal Trainer Susan L. Epstein
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Toward Efficient Agnostic Learning Michael J. Kearns, Robert E. Schapire, Linda Sellie
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Tracking Drifting Concepts by Minimizing Disagreements David P. Helmbold, Philip M. Long
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Trading Accuracy for Simplicity in Decision Trees Marko Bohanec, Ivan Bratko
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Using Neural Networks to Modularize Software Robert W. Schwanke, Stephen Jose Hanson
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