Learning

Learning and Evaluation Functions

Constructive Induction on Domain Information
James P. Callan, Paul E. Utgoff
614
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Two Kinds of Training Information For Evaluation Function Learning
Paul E. Utgoff, Jeffrey A. Clouse
596
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A Complexity Analysis of Cooperative Mechanisms in Reinforcement Learning
Steven D. Whitehead
607
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Adaptive Pattern-Oriented Chess
Robert Levinson, Richard Snyder
601
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Learning Connectionist Representations

Analysis of the Internal Representations in Neural Networks for Machine Intelligence
Lai-Wan Chan
578
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Direct Transfer of Learned Information Among Neural Networks
Lorien Y. Pratt, Jack Mostow, Candace A. Kamm
584
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Error-Correcting Output Codes: A General Method for Improving Multiclass Inductive Learning Programs
Thomas G. Dietterich, Ghulum Bakiri
572
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Rule Learning by Searching on Adapted Nets
LiMin Fu
590
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Learning Search Control

Integrating Abstraction and Explanation-Based Learning in PRODIGY
Craig A. Knoblock, Steven Minton, Oren Etzioni
541
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STATIC: A Problem-Space Compiler for PRODIGY
Oren Etzioni
533
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SteppingStone: An Empirical and Analytical Evaluation
David Ruby, Dennis Kibler
527
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Synthesizing UNIX Shell Scripts Using Derivational Analogy: An Empirical Assessment
Sanjay Bhansali, Mehdi T. Harandi
521
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Learning Theory and MDL

A Minimal Encoding Approach to Feature Discovery
Mark Derthick
565
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Analyses of Instance-Based Learning Algorithms
Marc K. Albert, David W. Aha
553
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Learning with Many Irrelevant Features
Hussein Almuallim, Thomas G. Dietterich
547
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Regularity and Structure
Alexander Botta
559
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