Machine Learning: ECML-98: 10th European Conference on Machine Learning, Chemnitz, Germany, April 21-23, 1998, Proceedings
Claire Nedellec, Celine Rouveirol
Springer, May 22, 1998 - Machine learning - 420 pages
This book constitutes the refereed proceedings of the 10th European Conference on Machine Learning, ECML-98, held in Chemnitz, Germany, in April 1998. The book presents 21 revised full papers and 25 short papers reporting on work in progress together with two invited contributions; the papers were selected from a total of 100 submissions. The book is divided in sections on applications of ML, Bayesian networks, feature selection, decision trees, support vector learning, multiple models for classification, inductive logic programming, relational learning, instance-based learning, clustering, genetic algorithms, reinforcement learning and neural networks.
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Learning in AgentOriented Worlds
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accuracy applied approach Artificial Intelligence attributes average base classifiers Bayesian networks binary Boosting BP-SOM clustering complexity concept Conference on Machine consists constructed context convergence corresponding cross-validation data sets decision tree defined denote described document domain domain theory ECOCs error rate estimate evaluation evolution experiments feature selection function G-nodes Genetic Algorithms given goal Hidden Markov Models hypothesis individual 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 probability problem Proceedings pruning Q-learning recursive reinforcement learning relevant rules sample scheme search space sequence statistical strategy structure subset SVMs Table tagger tags task technique test set tion training set update variable variant vector verbs words