English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Transductive Inference for Estimating Values of Functions

Chapelle, O., Vapnik, V., & Weston, J. (2000). Transductive Inference for Estimating Values of Functions. In S. Solla, T. Leen, & K. Müller (Eds.), Advances in Neural Information Processing Systems 12 (pp. 421-427). Cambridge, MA, USA: MIT Press.

Item is

Files

show Files

Creators

show
hide
 Creators:
Chapelle, O, Author              
Vapnik, V, Author
Weston, J1, Author              
Affiliations:
1External Organizations, ou_persistent22              

Content

show
hide
Free keywords: -
 Abstract: We introduce an algorithm for estimating the values of a function at a set of test points x_1^*,dots,x^*_m given a set of training points (x_1,y_1),dots,(x_ell,y_ell) without estimating (as an intermediate step) the regression function. We demonstrate that this direct (transductive) way for estimating values of the regression (or classification in pattern recognition) is more accurate than the traditional one based on two steps, first estimating the function and then calculating the values of this function at the points of interest.

Details

show
hide
Language(s):
 Dates: 2000-06
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: 2162
 Degree: -

Event

show
hide
Title: Thirteenth Annual Neural Information Processing Systems Conference (NIPS 1999)
Place of Event: Denver, CO, USA
Start-/End Date: 2000-11-29 - 2000-12-04

Legal Case

show

Project information

show

Source 1

show
hide
Title: Advances in Neural Information Processing Systems 12
Source Genre: Proceedings
 Creator(s):
Solla, SA, Editor
Leen, TK, Editor
Müller, K, Editor
Affiliations:
-
Publ. Info: Cambridge, MA, USA : MIT Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 421 - 427 Identifier: ISBN: 0-262-19450-3