论文信息 - Constructing Extensions of Bayesian Classifiers with Use of Normalizing Neural Networks

Constructing Extensions of Bayesian Classifiers with Use of Normalizing Neural Networks

We introduce a new neural network model that generalizes the principles of the Naive Bayes classification method. It is trained with use of backpropagation-like algorithm, in purpose of obtaining optimal combination of several classifiers. Experimental results are presented.

Dominik Slezak | Marcin S. Szczuka | Jakub Wroblewski

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