Machine Learning, ECML- ...: ProceedingsSpringer, 1995 - Induction (Logic) |
Contents
Machine Learning in the World Wide | 32 |
Learning Abstract Planning Cases | 55 |
The Role of Prototypicality in ExemplarBased Learning | 77 |
Copyright | |
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Common terms and phrases
abstract model abstraction mapping accuracy applied approach Artificial Intelligence attributes background knowledge Bayesian network biases case-based reasoning classification cognitive complexity Computer concrete CRL systems cross-validation crossover database dataset decision trees defined definition denotes Diamond problem disjunctive domain domain theory error evaluation exemplars experiments feature subset function genetic algorithm goal hyperplane hypothesis space IDTM incremental induction algorithm Inductive Logic Programming input clauses International language bias learning algorithm learning systems literals Machine Learning methods Michalski Morgan Kaufmann negative examples Neural Networks node noise non-monotonic non-monotonic logic operator optimal parameters performance positive examples possibilistic possible predicate problem solving Proceedings prototypicality pruning Quinlan recursive refutation represent representation restricted retrieval rule Rulearner selection sequence similar SLD-refutation solution step symbolic Table target concept task test set theory training set utility problem values variables VC dimension