Dynamic selection of classifiers-A comprehensive review
Dynamic selection of classifiers-A comprehensive review
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DOI：
10.1016/j.patcog.2014.05.003
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发表时间：
2014-11-01
影响因子：
8
通讯作者：
Oliveira, Luiz E. S.
中科院分区：
文献类型：
--
作者：
Britto, Alceu S., Jr.;Sabourin, Robert;Oliveira, Luiz E. S.
这项工作提出了一个文献综述的多分类器系统的基础上动态选择的分类器。首先，它简要回顾了一些基本概念和定义有关的这种分类方法，然后它提出了最先进的组织根据建议的分类法。此外，一个两步分析适用于文献中报道的主要方法的结果，考虑不同的分类问题。第一步是基于这些结果的意义的统计分析。我们的想法是找出一个显着的贡献，可以观察到的分类性能方面的问题，通过使用一个动态的选择方法。第二步，基于数据的复杂性措施，是用来调查是否存在的关系之间的可能的性能贡献和分类问题的复杂性。从这项全面的研究中，我们观察到，对于一些分类问题，动态选择方法的性能贡献是统计上显着的相比，一个单一的分类。此外，我们发现的证据之间的关系观察到的性能贡献和分类问题的复杂性。这些观察使我们能够建议，从分类问题的复杂性，应该做进一步的工作来预测是否使用动态选择方法。(C)2014爱思唯尔有限公司版权所有。
This work presents a literature review of multiple classifier systems based on the dynamic selection of classifiers. First, it briefly reviews some basic concepts and definitions related to such a classification approach and then it presents the state of the art organized according to a proposed taxonomy. In addition, a two-step analysis is applied to the results of the main methods reported in the literature, considering different classification problems. The first step is based on statistical analyses of the significance of these results. The idea is to figure out the problems for which a significant contribution can be observed in terms of classification performance by using a dynamic selection approach. The second step, based on data complexity measures, is used to investigate whether or not a relation exists between the possible performance contribution and the complexity of the classification problem. From this comprehensive study, we observed that, for some classification problems, the performance contribution of the dynamic selection approach is statistically significant when compared to that of a single-based classifier. In addition, we found evidence of a relation between the observed performance contribution and the complexity of the classification problem. These observations allow us to suggest, from the classification problem complexity, that further work should be done to predict whether or not to use a dynamic selection approach. (C) 2014 Elsevier Ltd. All rights reserved.