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- W2374043048 abstract "An ameliorated algorithm that combined support vector machine (SVM) with k nearest neighbour (kNN) is presented and it comes into being as a new classifier, based on the research that SVM classifies some tested samples in error nearby the optimal super-plane. In the class phase, the algorithm computes the distance from the tested sample to the optimal super-plane of SVM in the feature space. If the distance is greater than the given threshold, the tested sample will be classified on SVM, otherwise, the kNN algorithm will be used based on the best distance measurement. The numerical experiments show that the mixed algorithm improve the accuracy compared to the sole SVM." @default.
- W2374043048 created "2016-06-24" @default.
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- W2374043048 date "2009-01-01" @default.
- W2374043048 modified "2023-09-26" @default.
- W2374043048 title "An Ameliorated SYM Classifying Algorithm Combined with kNN" @default.
- W2374043048 hasPublicationYear "2009" @default.
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