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- W2389114342 abstract "This paper improved the existing SVM algorithm with the granularity of the quotient space theory,proposed a new SVM algorithm(SVM-G).The improved algorithm divided SVM classification problem into two or more sub-issues,thereby reducing the computation complexity of SVM classification.Experimental results indicate that the improved algorithm is suitable for processing large number of observations and can effectively accelerate the speeds of SVM learning and classifying while keeping the classification precision." @default.
- W2389114342 created "2016-06-24" @default.
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- W2389114342 date "2008-01-01" @default.
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- W2389114342 title "Large-scale SVM classification algorithm based on granularity of quotient space theory" @default.
- W2389114342 hasPublicationYear "2008" @default.
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