•  English
    • Persian
    • English
  •   Login
  • Ferdowsi University of Mashhad
  • |
  • Information Center and Central Library
    • Persian
    • English
  • Home
  • Source Types
    • Journal Paper
    • Ebook
    • Conference Paper
    • Standard
    • Protocol
    • Thesis
  • Use Help
View Item 
  •   FUM Digital Library
  • Fum
  • Articles
  • Latin Articles
  • View Item
  •   FUM Digital Library
  • Fum
  • Articles
  • Latin Articles
  • View Item
  • All Fields
  • Title
  • Author
  • Year
  • Publisher
  • Subject
  • Publication Title
  • ISSN
  • DOI
  • ISBN
Advanced Search
JavaScript is disabled for your browser. Some features of this site may not work without it.

Nonparametric variable selection and classification: The CATCH algorithm

Author:
Tang, Shijie - Chen, Lisha - Tsui, Kam - Doksum, Kjell
Publisher:
Elsevier Science
Year
: 2014
DOI: 10.1016/j.csda.2013.10.024
URI: http://libsearch.um.ac.ir:80/fum/handle/fum/582982
Keyword(s): Adaptive variable selection,Importance score,Chi
Collections :
  • Latin Articles
  • Show Full MetaData Hide Full MetaData
  • Statistics

    Nonparametric variable selection and classification: The CATCH algorithm

Show full item record

date accessioned2020-03-11T15:43:42Z
date available2020-03-11T15:43:42Z
date issued2014
identifier issn0167-9473
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/582982
formatgeneral
languageEnglish
publisherElsevier Science
titleNonparametric variable selection and classification: The CATCH algorithm
typeJournal Paper
contenttypeMetadata Only
identifier padid4443274
subject keywordsAdaptive variable selection
subject keywordsImportance score
subject keywordsChi
identifier doi10.1016/j.csda.2013.10.024
journal titleComputational Statistics & Data Analysis
journal volume72
journal issue0
filesize806036
citations0
contributor rawauthorTang, Shijie - Chen, Lisha - Tsui, Kam - Doksum, Kjell
  • About Us
نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
DSpace software copyright © 2019-2022  DuraSpace