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- W1988496564 abstract "Support vector machine is a beginning of the 1990s, based on statistical learning theory proposed new machine learning method, which structural risk minimization principle as the theoretical basis, by appropriately selecting a subset of functions and discriminant function in the subset, so the actual risk of learning machine to a minimum, to ensure that the limited training samples obtained through a small error classifier, an independent test set for testing error remains small. In this paper, support vector machine theory, algorithm, application status, etc. are discussed in detail." @default.
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- W1988496564 date "2014-09-01" @default.
- W1988496564 modified "2023-09-23" @default.
- W1988496564 title "Support Vector Machine and its Application Status" @default.
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- W1988496564 doi "https://doi.org/10.4028/www.scientific.net/amr.1030-1032.1814" @default.
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