English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
 DetailsSummary
  Statistical Learning Theory, Capacity and Complexity

Schölkopf, B. (2003). Statistical Learning Theory, Capacity and Complexity. Complexity, 8(4), 87-94. doi:10.1002/cplx.10094.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-DC18-E Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-DC19-C
Genre: Journal Article

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Schölkopf, B1, Author           
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              

Content

show
hide
Free keywords: -
 Abstract: We give an exposition of the ideas of statistical learning theory, followed by a discussion of how a reinterpretation of the insights of learning theory could potentially also benefit our understanding of a certain notion of complexity.

Details

show
hide
Language(s):
 Dates: 2003-07
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: URI: http://www3.interscience.wiley.com/cgi-bin/fulltext/104550672/PDFSTART
DOI: 10.1002/cplx.10094
BibTex Citekey: 2364
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Complexity
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 8 (4) Sequence Number: - Start / End Page: 87 - 94 Identifier: -