3 Apr 2018 Statistical Machine Learning: A Gentle Primer by Rui M. Castro and Robert D. Nowak. This early draft is free to view and download for personal use only. Not for re-distribution, re-sale 11.2 Vapnik-Chervonenkis Theory . 1see example 3 in http://www.win.tue.nl/~rmcastro/6887_10/files/lecture13.pdf. 134
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Machines (SVM) have been developed by Vapnik [3] and gained popularity due to More on statistical learning theory can be found on introduction to statistical. Became rather popular since. • Theoretically well motivated algorithm: developed from Statistical. Learning Theory (Vapnik & Chervonenkis) since the 60s. (Vapnik and Lerner 1963, Vapnik and Chervonenkis 1964). As such, it is firmly grounded in the framework of statistical learn- ing theory, or VC theory, which has Machines (SVM) have been developed by Vapnik [3] and gained popularity due to More on statistical learning theory can be found on introduction to statistical. Became rather popular since. • Theoretically well motivated algorithm: developed from Statistical. Learning Theory (Vapnik & Chervonenkis) since the 60s. (Vapnik and Lerner 1963, Vapnik and Chervonenkis 1964). As such, it is firmly grounded in the framework of statistical learn- ing theory, or VC theory, which has
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classifiers, or support vector machines (SVMs) (Boser, Guyon, & Vapnik, 1992; statistical learning. A theory of networks for approximation and learning.
