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  Learning from Labeled and Unlabeled Data on a Directed Graph

Zhou, D., Huang, J., & Schölkopf, B. (2005). Learning from Labeled and Unlabeled Data on a Directed Graph. In S. Jozef Stefan Institute, Slovenia Program Chairs: Luc D, L. de Raedt, & S. Wrobel (Eds.), ICML '05: 22nd international conference on Machine learning (pp. 1036-1043). New York, NY, USA: ACM Press.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-D4BB-6 Version Permalink: http://hdl.handle.net/21.11116/0000-0005-0E1E-C
Genre: Conference Paper

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 Creators:
Zhou, D1, 2, Author              
Huang, J, Author              
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              

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 Abstract: We propose a general framework for learning from labeled and unlabeled data on a directed graph in which the structure of the graph including the directionality of the edges is considered. The time complexity of the algorithm derived from this framework is nearly linear due to recently developed numerical techniques. In the absence of labeled instances, this framework can be utilized as a spectral clustering method for directed graphs, which generalizes the spectral clustering approach for undirected graphs. We have applied our framework to real-world web classification problems and obtained encouraging results.

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Language(s):
 Dates: 2005-08
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: 3463
DOI: 10.1145/1102351.1102482
 Degree: -

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Title: 22nd International Conference on Machine Learning (ICML 2005)
Place of Event: Bonn, Germany
Start-/End Date: 2005-08-07 - 2005-08-11

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Title: ICML '05: 22nd international conference on Machine learning
Source Genre: Proceedings
 Creator(s):
Jozef Stefan Institute, Slovenia Program Chairs: Luc D, S, Editor
de Raedt, L, Editor
Wrobel, S, Editor
Affiliations:
-
Publ. Info: New York, NY, USA : ACM Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1036 - 1043 Identifier: ISBN: 1-59593-180-5