Comments on: Probability enhanced effective dimension reduction for classifying sparse functional data

Research output: Contribution to journalArticle

Abstract

We would like to supplement this article with two more points. First, we express our views about the proposed work’s major contributions to the area of sparse functional data classification. Second, we suggest some possible future research directions and discuss ideas of generalizing the method to deal with the problem of multiclass classification for sparse functional data.

Original languageEnglish (US)
Pages (from-to)47-51
Number of pages5
JournalTest
Volume25
Issue number1
DOIs
StatePublished - Mar 1 2016

Fingerprint

Effective Dimension
Sparse Data
Functional Data
Dimension Reduction
Multi-class Classification
Data Classification
Express
Dimension reduction
Research directions

Keywords

  • Multiclass classification
  • Robust probability estimation
  • Truncated hinge loss
  • Weighted multiclass SVM

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Cite this

Comments on : Probability enhanced effective dimension reduction for classifying sparse functional data. / Zhang, Hao Helen.

In: Test, Vol. 25, No. 1, 01.03.2016, p. 47-51.

Research output: Contribution to journalArticle

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