Machine Learning
Inductive Learning
Explaining Temporal Differences to Create Useful Concepts for Evaluating States
PDFEffective Generalization of Relational Descriptions
PDFOn Analytical and Similarity-Based Classification
PDFRefinement of Approximate Domain Theories by Knowledge-Based Neural Networks
PDFAdding Domain Knowledge to SBL Through Feature Construction
PDFTwo Case Studies in Cost-Sensitive Concept Acquisition
PDFIncremental Non-Backtracking Focusing: A Polynomially Bounded Generalization Algorithm for Version Spaces
PDFComplementary Discrimination Learning: A Duality Between Generalization and Discrimination
PDFA Proven Domain-Independent Scientific Function-Finding Algorithm
PDFKnowledge Level and Inductive Uses of Chunking (EBL)
PDFChanging the Rules: A Comprehensive Approach to Theory Refinement
PDFInductive Learning in Probabilistic Domain
PDFLearning to Coordinate Behaviors
PDFEmpirical Studies on the Speed of Convergence of Neural Network Training Using Genetic Algorithms
PDFTheory Reduction, Theory Revision, and Retranslation
PDFLearning Causal Trees from Dependence Information
PDFConstructor: A System for the Induction of Probabilistic Models
PDFGeneralization with Taxonomic Information
PDFWhat Should Be Minimized in a Decision Tree?
PDFLearning from Textbook Knowledge: A Case Study
PDFMyths and Legends in Learning Classification Rules
PDFInductive Learning in a Mixed Paradigm Setting
PDFA Hybrid Connectionist, Symbolic Learning System
PDFAutomated Discovery in a Chemistry Laboratory
PDF
Learning and Problem Solving
Adaptive Search by Explanation-Based Learning of Heuristic Censors
PDFEmpirical Comparisons of Some Design Replay Algorithms
PDFLearning Search Control for Constraint-Based Scheduling
PDFWhy PRODIGY/EBL Works
PDFLearning Abstraction Hierarchies for Problem Solving
PDFExtending EBG to Term-Rewriting Systems
PDFOperationality Criteria for Recursive Predicates
PDFThe Utility of EBL in Recursive Domain Theories
PDF