Machine Learning, ECML- ...: ProceedingsSpringer, 2000 - Induction (Logic) |
Contents
ProcessOrient | 3 |
ShortTerm Profiling for a CaseBased I | 23 |
KSVCR A Multiclass Support Vector | 31 |
Copyright | |
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accuracy AdaBoost analysis applied approach Artificial Intelligence attributes average Berlin Heidelberg 2000 boosting case-base Case-Based Reasoning clustering Computer concept lattice cost cost-sensitive cross validation Data Mining database datasets decision tree defined detection DiscrAn C4.5 discrete domain Domain Theory ECML ensemble error rate estimate evaluation example fault coverage feature selection frequent concept function given heuristic HMMP hypothesis induction Inductive Logic Programming input instance item grammar itemsets Knowledge Discovery labeled layered learning learner learning algorithm learning task LNAI López de Mántaras Machine Learning matrix measure melanoma merging MetaCost minimax neural network NPPs obtained parameter patterns performance Plaza Eds prediction probability problem procedure Proceedings pruning random ranking methods regression relations representation ruleset sample Section sequence similar Springer-Verlag Berlin Heidelberg statistical strategy subset supervised learning Support Vector Machines SWISS-PROT Table techniques TimeList update wrapper