Lawrence Birnbaum , Gregg Collins (Eds.):
Proceedings of the Eighth International Workshop (ML91), Northwestern University, Evanston, Illinois, USA.
Morgan Kaufmann 1991, ISBN 1-55860-200-3 Automated Knowledge Acquisition
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Yolanda Gil :
A Domain-Independent Framework for Effective Experimentation in Planning.
13-17
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Eric K. Jones :
Knowledge Refinement Using a High Level, Non-Technical Vocabulary.
18-22
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Yong Ma ,
David C. Wilkins :
Improving the Performance of Inconsistent Knowledge Bases via Combined Optimization Method.
23-27
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Computational Models of Human Learning
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Mary Gick ,
Stan Matwin :
The Importance of Causal Structure and Facts in Evaluating Explanations.
51-54
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Wayne Iba :
Modeling the Acquisition and Improvement of Motor Skkills.
60-64
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Rick Kazman :
Babel: A Psychologically Plausible Cross-Linguistic Model of Lexical and Syntactic Acquisition.
75-79
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Thomas R. Shultz :
Simulating Stages of Human Cognitive Development With Connectionist Models.
105-109
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Constructive Induction
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David W. Aha :
Incremental Constructive Induction: An Instance-Based Approach.
117-121
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David S. Day :
Learning Variable Descriptors for Applying Heuristics Across CSP Problems.
127-131
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Carl Myers Kadie :
Quantifying the Value of Constructive Induction, Knowledge, and Noise Filtering on Inductive Learning.
153-157
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Sharad Saxena :
On the Effect of Instance Representation on Generalization.
198-202
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Dit-Yan Yeung :
A Neural Network Approach to Constructive Induction.
228-232
Learning in Intelligent Information Retrieval
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David D. Lewis :
Learning in Intelligent Information Retrieval.
235-239
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K. L. Kwok :
Query Learning Using an ANN with Adaptive Architecture.
260-264
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Paul Thompson :
Machine Learning in the Combination of Expert Opinion Approach to IR.
270-274
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Steven Walczak :
Predicting Actions from Induction on Past Performance.
275-279
Learning Reaction Strategies
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Matthew Brand :
Decision-Theoretic Learning in an Action System.
283-287
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Long Ji Lin :
Self-improvement Based on Reinforcement Learning, Planning and Teaching.
323-327
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David R. Pierce :
Learning a Set of Primitive Actions with an Uninterpreted Sensorimotor Apparatus.
338-342
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Mark B. Ring :
Incremental Development of Complex Behaviors.
343-347
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Satinder P. Singh :
Transfer of Learning Across Compositions of Sequentail Tasks.
348-352
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Ming Tan :
Learning a Cost-Sensitive Internal Representation for Reinforcement Learning.
358-362
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Lambert E. Wixson :
Scaling Reinforcement Learning Techniques via Modularity.
3368-372
Learning Relations
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Michael Bain :
Experiments in Non-Monotonic Learning.
380-384
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C. Feng :
Inducing Temporal Fault Diagnostic Rules from a Qualitative Model.
403-406
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J. Ross Quinlan :
Determinate Literals in Inductive Logic Programming.
442-446
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Learning From Theory and Data
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Hamid R. Berenji :
Refinement of Approximate Reasoning-based Controllers by Reinforcement Learning.
475-479
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Timothy Cain :
The DUCTOR: A Theory Revision System for Propositional Domains.
485-489
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Marie desJardins :
Probabilistic Evaluating of Bias for Learning Systems.
495-499
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Wei-Min Shen :
Discovering Regularities from Large Knowledge Bases.
539-543
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Machine Learning in Engineering Automation
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Ashok K. Goel :
Model Revision: A Theory of Incremental Model Learning.
605-609
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Jürgen Herrmann :
Learning Analytical Knowledge About VLSI-Design from Observation.
610-614
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Carl Myers Kadie :
Continous Conceptual Set Covering: Learning Robot Operators From Examples.
615-619
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Yoram Reich :
Design Integrated Learning Systems for Engineering Design.
635-639
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Addendum
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data released under the ODC-BY 1.0 license
