Machine Learning, ECML- ...: ProceedingsSpringer, 1998 - Induction (Logic) |
Contents
Learning in AgentOriented Worlds | 3 |
Applications of ML | 19 |
Reducing the Search Space with an Ordering | 37 |
Copyright | |
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accuracy applied approach Artificial Intelligence attributes average base classifiers Bayesian networks binary Boosting BP-SOM clustering concept Conference on Machine context convergence cross-validation data sets decision tree defined denote distribution document domain domain theory ECOCs error rate estimate evaluation evolution experiments feature selection function G-nodes Genetic Algorithms given goal Hidden Markov Models hypothesis Inductive Logic Programming input instance instance-based learning knowledge lazy learning learning algorithm learning-all-rules linear Machine Learning method Morgan Kaufmann mutation Naive Bayes Naive Bayes classifier naive Bayesian classifier neural network nodes obtained optimal options output bit paper parameters performance prediction probability problem Proceedings pruning Q-learning Quinlan recursive reinforcement learning relevant retrieval rules sample scheme sequence statistical strategy structure subset SVMs Table tagger tags task technique test set tion training examples training set update variable variance vector verbs words