English Kernel Fisher discriminant analysis Cited by user Citation bot on 16 Feb 2019 In statistics, kernel Fisher discriminant analysis (KFD), also known as generalized discriminant analysis and kernel discriminant analysis, is a kernelized version of…
English Representer theorem Cited by user Citation bot on 21 May 2012 For computer science, in statistical learning theory, a representer theorem is any of several related results stating that a minimizer f^{*} of a regularized empirical…
English Bayesian interpretation of regularization Cited by user GastonFiore on 19 May 2012 In statistics and machine learning, a Bayesian interpretation of regularization for kernel methods is often useful.
English Regularization perspectives on support vector machines Cited by user Elmackev on 18 May 2012 Regularization perspectives on support vector machines interpret SVM as a special case Tikhonov regularization, specifically Tikhonov regularization with the hinge loss…