Learning

Learning and Evaluation Functions

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

Learning Connectionist Representations

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

Learning Search Control

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

Learning Theory and MDL

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