## Machine Learning Proceedings 1995: Proceedings of the Twelfth International Conference on Machine Learning, Tahoe City, California, July 9-12 1995Machine Learning Proceedings 1995 |

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action agent Ant-Q applied approach Artificial Intelligence attributes average Bayesian Bayesian network Bellman Bellman equation bias binary bound classifier complexity converge cross-validation datasets decision tree defined described discretization distribution domain domain theory dynamic programming ECOC encoding Equation error rate estimate evaluation experiments Figure Genetic Algorithms Gittins Gittins index given grid heuristic hierarchy hypothesis induction initial input instances interval iteration label learner learning algorithm lexical linear Machine Learning method Morgan Kaufmann neural networks nodes noise operator optimal output paper parameters partition performance predictive accuracy prob probability probability vector problem pruning Q-learning query Quinlan random reinforcement learning relation reward rithm rules sample selection sequence simulated solution space speaker recognition split strategy structure subset synsets Table task techniques test set Theorem theory tion training data training examples training set trials update variables vector weight Winnow