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Definitions Paradigms Taxonomies
Learning From Examples
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abduction able Altos analogy applied Artificial Intelligence Approach Artificial Intelligence lncs attributes background knowledge bias case-based Case-Based Reasoning classification clause computational concept definition concept description Concept Learning conceptual clustering Conference on Artificial conjunctive constructive induction decision tree described discovery disjunctive domain knowledge domain theory editors Eurisko evaluation exemplar Explanation-Based Learning Focl Foil function goal heuristics Horn clauses hypothesis space IJCAI Incremental Inductive Bias inductive learning Inductive Logic Programming input instance space instance-based learning International Workshop J.G. Carbonell Kodratoff learning algorithms learning systems Logic Programming Machine Learning mEbg Mooney Morgan Kaufmann negative examples node operators performance positive examples predicates problem Proceedings R.S. Michalski Readings in Machine relation representation rules San Mateo Shavlik and Dietterich similar T.M. Mitchell target concept techniques Theory Revision training examples training instances training set true true true tuples unsupervised learning values variables version space