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Journal of computational and applied mathematics, v.224 no.1, 2009년, pp.182 - 192
Dong, X.M. (Department of Mathematics, Beijing University of Aeronautics and Astronautics, and LMIB of the Ministry of Education, Beijing 100083, China) , Chen, D.R.
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In this paper, a stochastic gradient descent algorithm is proposed for the binary classification problems based on general convex loss functions. It has computational superiority over the existing algorithms when the sample size is large. Under some reasonable assumptions on the hypothesis space and...
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