Caihui Zhou

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The support vector machine (SVM) has proved effective in classification.However,SVM easily becomes intractable in its memory and time requirements to deal with the large data, and also can not nicely deal with noisy, sparse, and imbalanced data. To overcome these issues, this paper presents a new local support vector machine that first finds k nearest(More)
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