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Part III Constructive Induction
Learning in Intelligent Information Retrieval
Learning Reaction Strategies
Learning From Theory and Data
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Abstract accuracy acquisition action advice taker applied approach Artificial Intelligence attributes background knowledge behavior bias chess CIGOL classification clause clusters Cognitive complex component Computer Science concept description concept learning Conference on Artificial constraints constructive induction decision trees defined described documents domain theory error evaluation experiments explanation explanation-based learning feature construction Figure FOCL FOIL function given goal GOLEM heuristic hidden units Horn clause hypothesis incremental inductive learning inference initial input International knowledge base learner learning algorithm learning systems literals logic Machine Learning match method Morgan Kaufmann Muggleton negative examples node operator output paper Pazzani performance planning positive examples predicates Proceedings Q-learning query Quinlan reactive reactive plans refinement reinforcement learning relations relevant representation represented retrieval robot rules selected sequence space strategy structure supervised learning task techniques tion training set tuples utility values variables