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文章基本信息

  • 标题:AN APPLICATION OF FUNCTIONAL MULTIVARIATE REGRESSION MODEL TO MULTICLASS CLASSIFICATION
  • 本地全文:下载
  • 作者:Mirosław Krzyśko ; Łukasz Smaga
  • 期刊名称:Statistics in Transition
  • 印刷版ISSN:1234-7655
  • 电子版ISSN:2450-0291
  • 出版年度:2017
  • 卷号:18
  • 期号:3
  • 页码:433-442
  • DOI:10.21307/stattrans-2016-079
  • 出版社:Exeley Inc.
  • 摘要:In this paper, the scale response functional multivariate regression model is considered. By using the basis functions representation of functional predictors and regression coefficients, this model is rewritten as a multivariate regression model. This representation of the functional multivariate regression model is used for multiclass classification for multivariate functional data. Computational experiments performed on real labelled data sets demonstrate the effectiveness of the proposed method for classification for functional data.
  • 关键词:functional data analysis;multi-label classification problem;multivariate functional data;regression model
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