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N. Cristianini, C. Campbell, and J. Shawe–Taylor (1998)

Multiplicative Updatings for Support-Vector Learning

Royal Holloway College, NeuroCOLT Technical Report(NC-TR-98-016), University of London, UK.

A Multiplicative-Updating algorithm for learning Support Vector machines is presented which exploits the particular structure of high-generalization hypotheses, by achieving fast rate of convergence just in those situations where high generalization can be obtained, namely small number of support vectors or large margin.

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