English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  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

Files

show Files

Locators

show
hide
Description:
-
OA-Status:

Creators

show
hide
 Creators:
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: 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: 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: New York, N.Y. : Wiley
Pages: - Volume / Issue: 8 (4) Sequence Number: - Start / End Page: 87 - 94 Identifier: ISSN: 1076-2787
CoNE: https://pure.mpg.de/cone/journals/resource/954933184423