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https://en.wikipedia.org/wiki/Vladimir_Vapnik
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 support-vector clustering algorithm.Alma mater: Institute of Control Sciences, …
http://scholar.google.com/citations?user=vtegaJgAAAAJ&hl=en
Their combined citations are counted only for the first article. ... L Kaufman, AJ Smola, V Vapnik. Advances in neural information processing systems, 155-161, 1997. 3176: 1997: Support vector method for function approximation, regression estimation and signal processing. V …
https://link.springer.com/article/10.1007%2FBF00994018
Sep 01, 1995 · The idea behind the support-vector network was previously implemented for the restricted case where the training data can be separated without errors. We here extend this result to non-separable training data. High generalization ability of support-vector networks utilizing polynomial input transformations is demonstrated.Cited by: 38765
http://image.diku.dk/imagecanon/material/cortes_vapnik95.pdf
Support-Vector Networks CORINNA CORTES [email protected] VLADIMIR VAPNIK [email protected] AT&T Bell Labs., Holmdel, NJ 07733, USA Editor: Lorenza Saitta Abstract. The support-vector network is a new learning machine for two-group classification problems. The
https://en.wikipedia.org/wiki/Support-vector_machine
The support-vector clustering algorithm, created by Hava Siegelmann and Vladimir Vapnik, applies the statistics of support vectors, developed in the support vector machines algorithm, to categorize unlabeled data, and is one of the most widely used clustering algorithms in industrial applications. [citation needed
https://www.amazon.com/Statistical-Learning-Theory-Vladimir-Vapnik/dp/0471030031
Aug 17, 2015 · The theory has been quite successful at attacking the pattern recognition/ classification problem and provides a basis for understanding support vector machines. However Vapnik sees a much broader application to statistical inference in general when the classical parametric approach fails.5/5(6)
https://link.springer.com/content/pdf/10.1007%2FBF00994018.pdf
Support-Vector Networks CORINNA CORTES VLADIMIR VAPNIK AT&T Bell Labs., Hohndel, NJ 07733, USA corinna@ neurai.att.com [email protected] Editor: Lorenza Saitta Abstract. The support-vector network is a new leaming machine for two-group classification problems. TheCited by: 38765
https://datascience.columbia.edu/vladimir-vapnik
Professor Vapnik gained his Masters Degree in Mathematics in 1958 at Uzbek State University, Samarkand, USSR. From 1961 to 1990 he worked at the Institute of Control Sciences, Moscow, where he became Head of the Computer Science Research Department. He
https://www.math.arizona.edu/~hzhang/math574m/Read/vapnik.pdf
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 purely theoretical analysis of the problem of function estimation from a given collection of data. In the middle of …
https://www.amazon.com/vladimir-vapnik/s?k=vladimir+vapnik
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