Machine Learning, ECML- ...: ProceedingsSpringer, 2000 - Induction (Logic) |
Contents
ProcessOriented Evaluation | 3 |
ShortTerm Profiling for a CaseBased Reasoning | 23 |
Learning Trading Rules with Inductive Logic Programming | 39 |
Copyright | |
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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 detection discrete domain Domain Theory dynamic ECML empirical error ensemble error rate estimate evaluation feature selection function HMMP hypothesis induction Inductive Logic Programming input instance intrusion itemsets labeled layered learning leaf nodes learner learning algorithm linear classifiers LNAI López de Mántaras Machine Learning matrix measure MetaCost method minimax 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