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Vladimir Vapnik - Wikipedia

    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, …

vapnik - Google Scholar Citations

    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 …

Support-vector networks SpringerLink

    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

Support-Vector Networks - Image

    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

Support-vector machine - Wikipedia

    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

Amazon.com: Statistical Learning Theory (9780471030034 ...

    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)

Support-vector networks - Springer

    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

Vladimir Vapnik Data Science Institute

    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

An overview of statistical learning theory - Neural ...

    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 …

Amazon.com: vladimir vapnik

    https://www.amazon.com/vladimir-vapnik/s?k=vladimir+vapnik
    Today's Deals Your Amazon.com Gift Cards Help Whole Foods Registry Sell Disability Customer Support. 16 results for "vladimir vapnik" Skip to main search results Amazon Prime. Eligible for Free Shipping. Free Shipping by Amazon. All customers get FREE …



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