BriefGPT.xyz
Apr, 2016
利用随机对选择构建自适应嵌套二叉树集成模型
Building Ensembles of Adaptive Nested Dichotomies with Random-Pair Selection
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Tim Leathart, Bernhard Pfahringer, Eibe Frank
TL;DR
采用随机配对选择方法来提高分类精度的研究表明，在形成嵌套二分集集合时，该方法的效果优于其他方法，并在所有其他情况下与其他方法持平。
Abstract
A system of
nested dichotomies
is a method of decomposing a multi-class problem into a collection of binary problems. Such a system recursively splits the set of classes into two subsets, and trains a
binary classifier<
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