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

Hao Helen Zhang

doi:10.1007/s11749-015-0477-8

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

Research output: Contribution to journal › Article › peer-review

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 language	English (US)
Pages (from-to)	47-51
Number of pages	5
Journal	Test
Volume	25
Issue number	1
DOIs	https://doi.org/10.1007/s11749-015-0477-8
State	Published - Mar 1 2016

Keywords

Multiclass classification
Robust probability estimation
Truncated hinge loss
Weighted multiclass SVM

ASJC Scopus subject areas

Statistics and Probability
Statistics, Probability and Uncertainty

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10.1007/s11749-015-0477-8

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title = "Comments on: Probability enhanced effective dimension reduction for classifying sparse functional data",

abstract = "We would like to supplement this article with two more points. First, we express our views about the proposed work{\textquoteright}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.",

keywords = "Multiclass classification, Robust probability estimation, Truncated hinge loss, Weighted multiclass SVM",

author = "Zhang, {Hao Helen}",

note = "Funding Information: Zhang{\textquoteright}s research is partly supported by National Science Foundation Grant DMS-1418172 and National Natural Science Foundation of China grant NSFC-11571009. Publisher Copyright: {\textcopyright} 2016, Sociedad de Estad{\'i}stica e Investigaci{\'o}n Operativa.",

year = "2016",

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doi = "10.1007/s11749-015-0477-8",

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AU - Zhang, Hao Helen

N1 - Funding Information: Zhang’s research is partly supported by National Science Foundation Grant DMS-1418172 and National Natural Science Foundation of China grant NSFC-11571009. Publisher Copyright: © 2016, Sociedad de Estadística e Investigación Operativa.

PY - 2016/3/1

Y1 - 2016/3/1

N2 - 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.

AB - 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.

KW - Multiclass classification

KW - Robust probability estimation

KW - Truncated hinge loss

KW - Weighted multiclass SVM

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

Abstract

Keywords

ASJC Scopus subject areas

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