Online Learning as Stochastic Approximation of Regularization Paths: Optimality and Almost-Sure Convergence

نویسنده:
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ناشر:
سال
: 2014
شناسه الکترونیک: 10.1109/TIT.2014.2332531
کلیدواژه(گان): Hilbert spaces,approximation theory,learning (artificial intelligence),minimax techniques,regression analysis,stochastic processes,Bernstein-type inequalities,RKHS,almost sure convergence,batch learning setting,mean square distance,minimax,online learning algorithm,optimality convergence,regression function,regularization paths,reproducing kernel Hilbert spaces,stochastic approximation,Approximation methods,Convergence,Educational institutions,Hilbert space,Kernel,Probabil
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