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  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.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-E4CE-8 Version Permalink: https://hdl.handle.net/21.11116/0000-0005-B5B6-1
Genre: Conference Paper

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http://papers.nips.cc/paper/1699-transductive-inference-for-estimating-values-of-functions.pdf (Publisher version)
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 Creators:
Chapelle, O, Author           
Vapnik, V, Author
Weston, J1, Author           
Affiliations:
1External Organizations, ou_persistent22              

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 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.

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 Dates: 2000-06
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: 2162
 Degree: -

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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

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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