Method of Combining Multiple Classifiers with Meta Decision Trees

Abstract

Abstract: One of the new areas of research in supervised learning is to study methods for constructing good ensembles of classifiers. The paperintroduces meta decision trees (MDT), a novel method for combining multiple classifiers, describes MDT , meta attribute, and the combiningframework of combining classifiers with MDT.

摘要： 在机器学习中,分类器融合已经成为一个新的研究领域。该本文介绍了用元决策树(MDT)融合多个分类器的新方法,阐释了MDT、元属性以及用MDT组合多个分类器的stacking框架。

关键词: 元决策树, 组合框架, 元属性, 组合分类器

CLC Number:

TP181

HE Li, HAN Wenxiu. Method of Combining Multiple Classifiers with Meta Decision Trees[J]. , 2005, 31(12): 23-.

何丽,韩文秀. 用元决策树组合多个分类器的方法[J]. , 2005, 31(12): 23-.

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