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Learning in AgentOriented Worlds
Learning Verbal Transitivity Using LogLinear Models
Reducing the Search Space with an Ordering
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accuracy actions algorithm allows applied approach Artificial attributes average Bayes Bayesian classifier clustering combination compared complexity Computer concept conditional Conference considered consists constructed contains correct corresponding cost covering data sets decision tree defined described distribution document domain effect error estimate evaluation examples experiments Figure function given goal hypothesis improve increase independent individual induction initial instance Intelligence International knowledge Machine Learning means measure method naive neural nodes observed obtained operator optimal options output parameters performance positive possible prediction presented prior probability problem Proceedings proposed pruning References relevant reported represented respect rules sample scheme selection shows similar single solution space statistical step strategy structure subset Table tags task technique theory tion update variable vector