LIU Jiang-hua, CHENG Jun-shi, CHEN Jia-pin. Support Vector Machine Training Algorithm: A Review[J]. INFORMATION AND CONTROL, 2002, 31(1): 45-50.
Citation: LIU Jiang-hua, CHENG Jun-shi, CHEN Jia-pin. Support Vector Machine Training Algorithm: A Review[J]. INFORMATION AND CONTROL, 2002, 31(1): 45-50.

Support Vector Machine Training Algorithm: A Review

  • This article introduced the training algorithm for the newest branch of statistic learning theory, SVM(Support Vector Machine),which can be classified into three categories: the first is the Decomposition Algorithm, whose delegate is SVMlight2, the second is sequence algorithm, the third is online training algorithm. All the three kinds of algorithms' advantages and disadvantages were analysed. And other algorithms and multi-class algorithms are introduced too. The future direction and application of SVM in pattern recognition and data mining, and so on were introduced.
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