多元决策树学习器 [英] Multivariate Decision Tree learner

问题描述

确实存在很多单变量决策树学习器实现（C4.5等），但是实际上有人知道多变量决策树学习器算法吗？

A lot univariate decision tree learner implementations (C4.5 etc) do exist, but does actually someone know multivariate decision tree learner algorithms?

推荐答案

Bennett and Blue的支持向量机决策树方法通过对树中的每个决策使用嵌入式SVM进行多变量拆分。

Bennett and Blue's A Support Vector Machine Approach to Decision Trees does multivariate splits by using embedded SVMs for each decision in the tree.

类似地，在通过离散支持向量机（2009），Orsenigo和Vercellis将多类离散支持向量机（DSVM）嵌入到决策树节点中。

Similarly, in Multicategory classification via discrete support vector machines (2009) , Orsenigo and Vercellis embed a multicategory variant of discrete support vector machines (DSVM) into the decision tree nodes.

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