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Active learning method for multi-class classifiers
Active learning method for multi-class classifiers
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机译:多分类器的主动学习方法
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摘要
A method trains a multi-class classifier by iteratively performing the following steps until a termination condition is reached. The probabilities of class membership for unlabeled data obtained from an active pool of unlabeled data are estimated. A difference between a largest probability and a second largest probability is determined. The unlabeled data with the lowest difference is selected, labeled and then added to a training data set for training the classifier.
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