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- W1538818982 abstract "AbstractIn many neural network applications, the selection of best training set to represent the entire sample space is one of the most important problems. Active learning algorithms in the literature for neural networks are not appropriate for Probabilistic Neural Networks (PNN). In this paper, a new active learning method is proposed for PNN. The method was applied to several benchmark problems.KeywordsActive LearnProbabilistic Neural NetworkTraining InstanceData ReplicationLearn Classifier SystemThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
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- W1538818982 date "2005-01-01" @default.
- W1538818982 modified "2023-09-26" @default.
- W1538818982 title "Active Learning for Probabilistic Neural Networks" @default.
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- W1538818982 doi "https://doi.org/10.1007/11539087_13" @default.
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