Computer Science ›› 2009, Vol. 36 ›› Issue (4): 208-210.
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LIANG Hong-xia, YAN De-qin （School of Computer and Information Technology, Liaoning Normal University, Dalian 116029,China）
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Abstract: As a powerful machine learning tool, support vector machine （SVM） is now widely used and studied. However,one kind model of SVM is not absolutely suitable for all kind of data. The effectiveness of a SVM depends on correctness of acquiring the information
Key words: SVM, Equvalence class,RSVM
LIANG Hong-xia, YAN De-qin （School of Computer and Information Technology, Liaoning Normal University, Dalian 116029,China）. [J].Computer Science, 2009, 36(4): 208-210.
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