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- W2012935697 abstract "Abstract I consider a method for combining different classifiers to develop more effective classification rules. The proposed combined classifier, which turns out to be strongly consistent, is quite simple to use in real applications. It is also shown that this combined classifier is, (strongly) asymptotically, at least as good as any one of the individual classifiers. In addition, if one of the individual classifiers is already Bayes optimal (asymptotically), then so is the combined classifier." @default.
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- W2012935697 date "1999-06-01" @default.
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- W2012935697 title "Combining Classifiers via Discretization" @default.
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- W2012935697 doi "https://doi.org/10.1080/01621459.1999.10474154" @default.
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