English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
 Local TagsRelease HistoryDetailsSummary
  Feature Selection for Support Vector Machines Using Genetic Algorithms

Fröhlich, H., Chapelle, O., & Schölkopf, B. (2003). Feature Selection for Support Vector Machines Using Genetic Algorithms. In 15th IEEE International Conference on Tools with Artificial Intelligence (pp. 142-148). Piscataway, NJ, USA: IEEE Operations Center. doi:10.1109/TAI.2003.1250182.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-DA61-7 Version Permalink: https://hdl.handle.net/21.11116/0000-0005-6BBA-2
Genre: Conference Paper

Files

show Files

Locators

show
hide
Locator:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1250182 (Publisher version)
Description:
-
OA-Status:

Creators

show
hide
 Creators:
Fröhlich, H1, 2, Author           
Chapelle, O1, 2, Author           
Schölkopf, B1, 2, Author           
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

Content

show
hide
Free keywords: -
 Abstract: The problem of feature selection is a difficult combinatorial task in machine learning and of high practical relevance, e.g. in bioinformatics. genetic algorithms (GAs) offer a natural way to solve this problem. In this paper, we present a special genetic algorithm, which especially takes into account the existing bounds on the generalization error for support vector machines (SVMs). This new approach is compared to the traditional method of performing cross-validation and to other existing algorithms for feature selection.

Details

show
hide
Language(s):
 Dates: 2003-12
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: 3166
DOI: 10.1109/TAI.2003.1250182
 Degree: -

Event

show
hide
Title: 15th IEEE International Conference on Tools with Artificial Intelligence 2003
Place of Event: Sacramento, CA, USA
Start-/End Date: 2003-11-05

Legal Case

show

Project information

show

Source 1

show
hide
Title: 15th IEEE International Conference on Tools with Artificial Intelligence
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Piscataway, NJ, USA : IEEE Operations Center
Pages: - Volume / Issue: 13 (4) Sequence Number: - Start / End Page: 142 - 148 Identifier: ISBN: 0-7695-2038-3