Learning with Local and Global Consistency

Zhou, D; Bousquet, O; Lal, TN; Weston, J; Schölkopf, B

Local TagsRelease HistoryDetailsSummary

Learning with Local and Global Consistency

Zhou, D., Bousquet, O., Lal, T., Weston, J., & Schölkopf, B. (2004). Learning with Local and Global Consistency. In S. Thrun, L. Saul, & B. Schölkopf (Eds.), Advances in Neural Information Processing Systems 16: Proceedings of the 2003 Conference (pp. 321-328). Cambridge, MA, USA: MIT Press.

Item is Released

show all hide all

Basic

show hide

Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-D8EF-C Version Permalink: https://hdl.handle.net/21.11116/0000-0005-4647-D

Genre: Conference Paper

Files

show Files

Locators

show

hide

Locator:
https://papers.nips.cc/paper/2506-learning-with-local-and-global-consistency.pdf (Publisher version) Open Access status unknown

Description:
-

OA-Status:

Creators

show

hide

Creators:
Zhou, D^{1, 2}, Author
Bousquet, O^{1, 2}, Author
Lal, TN^{1, 2}, Author
Weston, J^{1, 2}, Author
Schölkopf, B^{1, 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 consider the general problem of learning from labeled and unlabeled data, which is often called semi-supervised learning or transductive inference. A principled approach to semi-supervised learning is to design a classifying function which is sufficiently smooth with respect to the intrinsic structure collectively revealed by known labeled and unlabeled points. We present a simple algorithm to obtain such a smooth solution. Our method yields encouraging experimental results on a number of classification problems and demonstrates effective use of unlabeled data.

Details

show

hide

Language(s):

Dates: Date issued: 2004-06

Publication Status: Issued

Pages: -

Publishing info: -

Table of Contents: -

Rev. Type: -

Identifiers: BibTex Citekey: 2333

Degree: -

Event

show

hide

Title: Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003)

Place of Event: Vancouver, BC, Canada

Start-/End Date: 2003-12-08 - 2003-12-13

Legal Case

show

Project information

show

Source 1

show

hide

Title: Advances in Neural Information Processing Systems 16: Proceedings of the 2003 Conference

Source Genre: Proceedings

Creator(s):
Thrun, S, Editor
Saul, LK, Editor
Schölkopf, B¹, Editor

Affiliations:
1 Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794

Publ. Info: Cambridge, MA, USA : MIT Press

Pages: 1621 Volume / Issue: - Sequence Number: - Start / End Page: 321 - 328 Identifier: ISBN: 0-262-20152-6