Machine Learning
Inductive Learning
Refinement of Approximate Domain Theories by Knowledge-Based Neural Networks
PDFOn Analytical and Similarity-Based Classification
PDFEffective Generalization of Relational Descriptions
PDFExplaining Temporal Differences to Create Useful Concepts for Evaluating States
PDFMyths and Legends in Learning Classification Rules
PDFLearning from Textbook Knowledge: A Case Study
PDFWhat Should Be Minimized in a Decision Tree?
PDFGeneralization with Taxonomic Information
PDFConstructor: A System for the Induction of Probabilistic Models
PDFLearning Causal Trees from Dependence Information
PDFTheory Reduction, Theory Revision, and Retranslation
PDFEmpirical Studies on the Speed of Convergence of Neural Network Training Using Genetic Algorithms
PDFLearning to Coordinate Behaviors
PDFAdding Domain Knowledge to SBL Through Feature Construction
PDFInductive Learning in Probabilistic Domain
PDFChanging the Rules: A Comprehensive Approach to Theory Refinement
PDFKnowledge Level and Inductive Uses of Chunking (EBL)
PDFA Proven Domain-Independent Scientific Function-Finding Algorithm
PDFComplementary Discrimination Learning: A Duality Between Generalization and Discrimination
PDFIncremental Non-Backtracking Focusing: A Polynomially Bounded Generalization Algorithm for Version Spaces
PDFTwo Case Studies in Cost-Sensitive Concept Acquisition
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