English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
 DetailsSummary
  Model Selection for Support Vector Machines

Chapelle, O. (2000). Model Selection for Support Vector Machines. Advances in Neural Information Processing Systems, 230-236.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-E4C6-7 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-E4C7-5
Genre: Conference Paper

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Chapelle, O1, Author           
Solla, Editor
S.A., Editor
Leen, T.K., Editor
Müller, K-R, Editor
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              

Content

show
hide
Free keywords: -
 Abstract: New functionals for parameter (model) selection of Support Vector Machines are introduced based on the concepts of the span of support vectors and rescaling of the feature space. It is shown that using these functionals, one can both predict the best choice of parameters of the model and the relative quality of performance for any value of parameter.

Details

show
hide
Language(s):
 Dates: 2000-06
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: ISBN: 0-262-19450-3
URI: http://books.nips.cc/nips12.html
BibTex Citekey: 2161
 Degree: -

Event

show
hide
Title: Thirteenth Annual Neural Information Processing Systems Conference (NIPS 1999)
Place of Event: Denver, CO, USA
Start-/End Date: -

Legal Case

show

Project information

show

Source 1

show
hide
Title: Advances in Neural Information Processing Systems
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Cambridge, MA, USA : MIT Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 230 - 236 Identifier: -