ELECTRIC NETWORK CLASSIFIERS FOR SEMI-SUPERVISED LEARNING ON GRAPHS-Reference-Cited by-同舟云学术

ELECTRIC NETWORK CLASSIFIERS FOR SEMI-SUPERVISED LEARNING ON GRAPHS

Published:2007 Issue:3 Volume:50 Page:219-232
ISSN:0453-4514
Container-title:Journal of the Operations Research Society of Japan
language:en
Short-container-title:JORSJ

Author:

Hirai Hiroshi¹,Murota Kazuo²,Rikitoku Masaki³

Affiliation:

1. Kyoto University

2. University of Tokyo

3. Justsystem

Publisher

The Operations Research Society of Japan

Subject

Management Science and Operations Research,General Decision Sciences

Link

https://www.jstage.jst.go.jp/article/jorsj/50/3/50_KJ00004681883/_pdf

Reference21 articles.

1. 1) AHUJA R. K. Network Flows-Theory, Algorithms, and Applications. Prentice Hall. (1993)

2. 2) DOYLE P. G. Random Walks and Electric Networks. The Mathematical Association of America. (1984)

3. 3) HIRAI H. SVM kernel by electric network. Pacific Journal of Optimization. (2005) vol.1, p.509-526.

4. 4) HOCHREITER S. Coulomb classifiers : generalizing support vector machines via an analogy to electrostatic systems. Neural Information Processing Systems. (2003) vol.15, p.545-552.

5. 5) IRI M. Network Flow, Transportation and Scheduling-Theory and Algorithm. Academic Press. (1969)

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