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Homogeneous Ensemble Selection - Experimental Studies

机译:均匀集合选择 - 实验研究

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The paper presents the dynamic ensemble selection method. Proposed method uses information from so-called decision profiles which are formed from the outputs of the base classifiers. In order to verify these algorithms, a number of experiments have been carried out on several public available data sets. The proposed dynamic ensemble selection is experimentally compared against all base classifiers and the ensemble classifiers based on the sum and decision profile methods. As a base classifiers we used the pool of homogeneous classifiers.
机译:本文介绍了动态集合选择方法。所提出的方法使用来自所谓的决策简档的信息,该信息由基本分类器的输出形成。为了验证这些算法,已经在几个公共可用数据集上执行了许多实验。基于SUM和决策配置文件方法,通过基于所有基本分类器和集合分类器进行实验地进行实验地进行实验。作为基本分类器,我们使用了同类分类器的池。

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