English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
 DetailsSummary
  Extracting support data for a given task

Schölkopf, B., Burges, C., & Vapnik, V. (1995). Extracting support data for a given task. In First International Conference on Knowledge Discovery & Data Mining (KDD-95) (pp. 252-257). Menlo Park, CA, USA: AAAI Press.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-EC66-3 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-EC67-1
Genre: Conference Paper

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Schölkopf, B1, Author           
Burges, C, Author
Vapnik, V, Author
Fayyad R. Uthurusamy, U.M., Editor
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              

Content

show
hide
Free keywords: -
 Abstract: We report a novel possibility for extracting a small subset of a data base which contains all the information necessary to solve a given classification task: using the Support Vector Algorithm to train three different types of handwritten digit classifiers, we observed that these types of classifiers construct their decision surface from strongly overlapping small (k: 4) subsets of the data base. This finding opens up the possibiiity of compressing data bases significantly by disposing of the data which is not important for the solution of a given task. In addition, we show that the theory allows us to predict the classifier that will have the best generalization ability, based solely on performance on the training set and characteristics of the learning machines. This finding is important for cases where the amount of available data is limited.

Details

show
hide
Language(s):
 Dates: 1995-08
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: ISBN: 0-929280-82-2
URI: http://www.aaai.org/Papers/KDD/1995/KDD95-030.pdf
BibTex Citekey: 795
 Degree: -

Event

show
hide
Title: First International Conference on Knowledge Discovery Data Mining (KDD-95)
Place of Event: Montréal, Canada
Start-/End Date: -

Legal Case

show

Project information

show

Source 1

show
hide
Title: First International Conference on Knowledge Discovery & Data Mining (KDD-95)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Menlo Park, CA, USA : AAAI Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 252 - 257 Identifier: -