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Learning FirstOrder Acyclic Horn Programs from Entailment
Combining Statistical and Relational Methods for Learning in Hypertext
Application of Inductive Logic Programming to Discover Rules Governing
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accuracy agent applied approach arity Artificial Intelligence background knowledge classified Clog clustering complexity concept consider constant constraints counterexample database dataset decision trees defined definition denote described domain Dzeroski edit distance entailment evaluation experiments first-order FoiDl function function-free genetic algorithm given Herbrand interpretations Herbrand model heuristic Horn clauses Horn programs hyperlinks hypothesis ILP systems Inductive Logic Programming input instance language learner learning tasks Lemma literals LNAI Logic Pro Machine Learning method metric space Morgan Kaufmann Muggleton Naive Bayes negative examples nodes non-determinate paper Part-of-speech tagging positive examples prime consequent problem Proc Proceedings Progol Prolog propositional protein Q-learning Raedt RDBC refinement rules reinforcement learning relational learning representation RIBL segmentation sequence shogi similarity stochastic structure subset Table tagging target clause Theorem theory TILDE training set tuples values variables words Workshop on Inductive