Abstract: In supervised learning using kernel methods, we often encounter a large-scale finite-sum minimization over a reproducing kernel Hilbert space (RKHS). Large-scale finite-sum problems can be ...
Abstract: In this paper, the major work is to investigate how the effect of step-size on the convergence performance of the Newton-Raphson iterative algorithm for solving multi-linear systems with M ...
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