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首页> 外文期刊>International Journal of Innovative Computing Information and Control >STRUCTURE SELECTION FOR DAG-SVM BASED ON MISCLASSIFICATION COST MINIMIZATION
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STRUCTURE SELECTION FOR DAG-SVM BASED ON MISCLASSIFICATION COST MINIMIZATION

机译:基于错误分类成本最小化的DAG-SVM结构选择

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摘要

DAG-SVM is one of the most popular multi-class support vector machines, but it has k! kinds of decision structures while dealing with k-class problems. How to select an appropriate structure is a key problem in DAG-SVM. In this paper, the classification bias of DAG-SVM was first discussed, and then the concept of misclassification cost was introduced in structure selection for DAG-SVM. Based on the principle of Misclassification Cost Minimization, a structure selection method for DAG-SVM was proposed to minimize the risk of total misclassification cost. The proposed method was tested on several benchmark data sets, and the results indicated that MCM-based selecting method for DAG-SVM obtained satisfactory results.
机译:DAG-SVM是最流行的多类支持向量机之一,但它有k!各种决策结构,同时处理k类问题。如何选择合适的结构是DAG-SVM中的关键问题。本文首先讨论了DAG-SVM的分类偏差,然后在DAG-SVM的结构选择中引入了误分类成本的概念。基于错误分类成本最小化的原理,提出了一种DAG-SVM的结构选择方法,以最大程度地降低错误分类总成本的风险。在几种基准数据集上对该方法进行了测试,结果表明基于MCM的DAG-SVM选择方法取得了满意的结果。

著录项

  • 来源
  • 作者

    Hui Yi; Xiaofeng Song; Bin Jiang;

  • 作者单位

    College of Automation Engineering Nanjing University of Aeronautics and Astronautics No. 29, Yudao Street, Baixia Distinct, Nanjing 210016, P. R. China;

    College of Automation Engineering Nanjing University of Aeronautics and Astronautics No. 29, Yudao Street, Baixia Distinct, Nanjing 210016, P. R. China;

    College of Automation Engineering Nanjing University of Aeronautics and Astronautics No. 29, Yudao Street, Baixia Distinct, Nanjing 210016, P. R. China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    misclassification cost; DAG-SVM; structure selection;

    机译:分类费用;DAG-SVM;结构选择;

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