An iterative SVM approach to feature selection and classification in high-dimensional datasets

Published 2013 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
An iterative SVM approach to feature selection and classification in high-dimensional datasets
Authors
Keywords
-
Journal
PATTERN RECOGNITION
Volume 46, Issue 9, Pages 2531-2537
Publisher
Elsevier BV
Online
2013-02-20
DOI
10.1016/j.patcog.2013.02.007

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.