Machine Learning: ECML-95: 8th European Conference on Machine Learning, Heraclion, Crete, Greece, April 25 - 27, 1995. Proceedings
Nada Lavrač, Stefan Wrobel
Springer, May 12, 1995 - Machine learning - 370 pages
This volume constitutes the proceedings of the Eighth European Conference on Machine Learning ECML-95, held in Heraclion, Crete in April 1995. Besides four invited papers the volume presents revised versions of 14 long papers and 26 short papers selected from a total of 104 submissions. The papers address all current aspects in the area of machine learning; also logic programming, planning, reasoning, and algorithmic issues are touched upon.
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Problem Decomposition and the Learning of Skills
Learning Abstract Planning Cases
The Role of Prototypicality in ExemplarBased Learning
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abstract model abstraction mapping accuracy applied approach Artificial Intelligence attributes background knowledge Bayesian network biases case-based reasoning classification cognitive complexity Computer concept space concrete CRL systems cross-validation crossover database dataset decision table decision trees defined definition denotes 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 measure 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 step symbolic Table target concept task test set theory training set utility problem values variables VC dimension