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- W2387759672 abstract "To improve the speed of final convergence of coordinate descent method(CD)when it is applied to linear support vector machine(SVM),Rosenbrock algorithm(R)is applied to linear SVM.In inter iterations,R updates one component of w by solving a one-variable sub-problem while fixing other components.In outer iterations,the new search direction is constructed by the Gram-schmidt procedure.Experimental results show that,compared with CD,R accerlates final convergence and achieves higher testing accuracy more quickly in classification." @default.
- W2387759672 created "2016-06-24" @default.
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- W2387759672 date "2009-01-01" @default.
- W2387759672 modified "2023-09-25" @default.
- W2387759672 title "Training linear support vector machine by Rosenbrock algorithm in the primal space" @default.
- W2387759672 hasPublicationYear "2009" @default.
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