Global convergence analysis of decomposition methods for support vector machines

Norikazu Takahashi, Tetsuo Nishi

Research output: Contribution to journalConference article

Abstract

Convergence property of decomposition methods for solving quadratic optimization problems arising in support vector machines is studied. It is shown that under a mild condition any decomposition method converges to an optimal solution.

Original languageEnglish
Pages (from-to)V-728-V-731
JournalProceedings - IEEE International Symposium on Circuits and Systems
Volume5
Publication statusPublished - Sep 6 2004
Externally publishedYes
Event2004 IEEE International Symposium on Cirquits and Systems - Proceedings - Vancouver, BC, Canada
Duration: May 23 2004May 26 2004

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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