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Became rather popular since. • Theoretically well motivated algorithm: developed from Statistical. Learning Theory (Vapnik & Chervonenkis) since the 60s. An Overview of Statistical Learning Theory. Vladimir N. Vapnik. Abstract—Statistical learning theory was introduced in the late. 1960's. Until the 1990's it was a 

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Statistical Learning Theory (Grupo Inteligencia Computacional Universidad del País Vasco). Vapnik on the set of functions φ (x,α),α ∈ Λ, where the p.d.f..

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Vladimir Naumovich Vapnik (Russian: Владимир Наумович Вапник; born 6 December 1936) is one of the main developers of the Vapnik–Chervonenkis theory of statistical learning, and the co-inventor of the support-vector machine method, and…

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Wasilkowski, 1988, Traub and Werschulz, 1998) to statistical learning theory and algorithms by complexity (Vapnik, 1998, 2000) for minimization of error. our work is to transform this situation by bringing statistical learning theory to bear Inspired by Vapnik and Chervonenkis's work on ϵ-samples, Haussler and  Vapnik: The Nature of Statistical Learning Theory, Second Edition. Wallace: that fill in important details, have solutions that are available as a PDF file from the. Vladimir Vapnik. "Rethinking Statistical Learning Theory: Learning Using Statistical Invariants". In the talk, I will considers Teacher-Student interaction in learning  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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