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- W2357202112 abstract "To improve the accuracy of supervised classification, a new stacked classifier model is put forward and its characteristics are analyzed. In each layer of the model,there is only one classifier, and all of the input and output values of one layer are the inputs of the next classifier. We combine the naive Bayesian method and BPNN into a two-layer classifier. Empirical results show that this combination gets higher classification accuracy than each individual classifier." @default.
- W2357202112 created "2016-06-24" @default.
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- W2357202112 date "2004-01-01" @default.
- W2357202112 modified "2023-09-24" @default.
- W2357202112 title "Research on Stacked Classifiers" @default.
- W2357202112 hasPublicationYear "2004" @default.
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