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- W844501393 abstract "In this paper we propose a new method for solving multiclass problem with least squares support vector machine(LS-SVM) regression. This method implements one-against-all scheme which is as accurate as any other approach. We also propose cross validation(CV) method to select effectively the optimal values of hyper-parameters which affect the performance of the proposed multiclass method. Experimental results are then presented which indicate the performance of the proposed multiclass method." @default.
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- W844501393 date "2008-05-30" @default.
- W844501393 modified "2023-10-16" @default.
- W844501393 title "Multiclass Classification via Least Squares Support Vector Machine Regression" @default.
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- W844501393 doi "https://doi.org/10.5351/ckss.2008.15.3.441" @default.
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