• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Discovery science >On a New Competence Measure Applied to the Dynamic Selection of Classifiers Ensemble
【24h】

On a New Competence Measure Applied to the Dynamic Selection of Classifiers Ensemble

机译：一种用于分类器集合动态选择的新能力度量方法

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this paper a new method for calculating the classifier competence in the dynamic mode is developed. In the method, first decision profile of the classified object is calculated using K nearest objects from the validation set. Next, the decision profile is compared with the support vector produced by the classifier. The competence measure reflects the outcome of this comparison and rates the classifier with respect to the similarity of its support vector and decision profile of the test object in a continuous manner. Three different procedures for calculating decision profile and three different measures for comparing decision profile and support vector are proposed, which leads to nine methods of competence calculation. Two multiclassifier systems (MC) with homogeneous and heterogeneous pool of base classifiers and with dynamic ensemble selection scheme (DES) were constructed using the methods developed. The performance of constructed MC systems was compared against seven state-of-the-art MC systems using 15 benchmark data sets taken from the UCI Machine Learning Repository. The experimental investigations clearly show the effectiveness of the combined multiclassifier system in dynamic fashion with the use of the proposed measures of competence regardless of the ensemble type used.
机译：本文提出了一种动态模式下分类器能力计算的新方法。在该方法中，使用来自验证集中的K个最近的对象来计算分类对象的第一决策轮廓。接下来，将决策概况与分类器产生的支持向量进行比较。能力度量反映了此比较的结果，并以连续方式对分类器的支持向量和测试对象的决策概况的相似性进行评估。提出了三种不同的决策轮廓计算方法和三种比较决策轮廓和支持向量的方法，从而得出了九种能力计算方法。使用开发的方法，构建了两个具有同质和异质基本分类器池以及动态集合选择方案（DES）的多分类器系统（MC）。使用从UCI机器学习存储库中获取的15个基准数据集，将构建的MC系统的性能与七个最新的MC系统进行了比较。实验研究清楚地表明，无论所使用的合奏类型如何，通过使用建议的能力度量方法，动态组合式多分类器系统的有效性。

著录项

  • 来源
    《Discovery science》|2017年|93-107|共15页
  • 会议地点 Kyoto(JP)
  • 作者

    Marek Kurzynski; Pawel Trajdos;

  • 作者单位

    Department of Systems and Computer Networks, Wroclaw University of Science and Technology, Wyb. Wyspianskiego 27, 50-370 Wroclaw, Poland;

    Department of Systems and Computer Networks, Wroclaw University of Science and Technology, Wyb. Wyspianskiego 27, 50-370 Wroclaw, Poland;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Multiclassifier system; Dynamic ensemble selection; Measure of competence;

    机译：多分类器系统；动态整体选择；衡量能力;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号