Machine Learning: ECML 2000: 11th European Conference on Machine Learning Barcelona, Catalonia, Spain May, 31 - June 2, 2000 Proceedings
Ramon Lopez de Mantaras, Enric Plaza
Springer, Jun 16, 2000 - Machine learning - 460 pages
This book constitutes the refereed proceedings of the 11th European Conference on Machine Learning, ECML 2000, held in Barcelona, Catalonia, Spain, in May/June 2000. The 20 long papers and 23 short papers presented together with 2 invited contributions were carefully reviewed and selected from 100 submissions. All current issues in machine learning as well as advanced applications in various areas are addressed.
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ShortTerm Profiling for a CaseBased Reasoning
Learning Trading Rules with Inductive Logic Programming
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accuracy AdaBoost analysis applied approach Artificial Intelligence attributes average Berlin Heidelberg 2000 boosting case-base Case-Based Reasoning classifier clustering Computer concept lattice conditional entropy cost cost-sensitive cross validation Data Mining database datasets decision tree defined described detection discretization domain Domain Theory dynamic ECML empirical error ensemble error rate estimate evaluation feature selection function given HMMP hypothesis induction Inductive Logic Programming input instance intrusion itemsets labeled layered learning learner learning algorithm linear classifiers LNAI Machine Learning Mantaras matrix measure MetaCost method minimax Naive Bayes classifier neural network NPPs obtained optimal paper parameter partial linear models patterns performance Plaza Eds prediction probability problem procedure Proceedings pruning random ranking regression relations representation rules ruleset sample Section sequence similar split Springer-Verlag Berlin Heidelberg statistical strategy subset supervised learning SWISS-PROT Table target event techniques threshold unlabeled documents update vector workflow model wrapper