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Vladimir Vapnik
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#	Item
1	Machine Learning, 20, ) © 1995 Kluwer Academic Publishers, Boston. Manufactured in The Netherlands. Support-Vector Networks CORINNA CORTES VLADIMIR VAPNIK Add to Reading List Source URL: image.diku.dk - Date: 2011-02-08 11:34:45
2	PAC Learning and Artificial Neural Networks Martin Anthony and Norman Biggs Department of Mathematics, London School of Economics and Political Science (University of London), Houghton St., London WC2A 2AE, United Kingdo Add to Reading List Source URL: www.maths.lse.ac.uk Language: English - Date: 2000-04-03 14:19:07 Computational learning theory Artificial neural networks Machine learning Computational statistics Learning VC dimension Sample complexity Probably approximately correct learning Backpropagation Perceptron Vladimir Vapnik Radial basis function network
3	IEEE TRANSACTIONS ON INFORMATION 128 c J(Wi- w/&(w) = J(w - Wk), Add to Reading List Source URL: www.ifp.illinois.edu Language: English - Date: 2003-07-08 17:06:56 Signal processing Regression analysis Empirical process Autocorrelation Covariance and correlation Time series analysis Vladimir Vapnik GlivenkoCantelli theorem
4	On 21 September 2014, Alexej Chervonenkis went for a walk in a park on the outskirts of Moscow and got lost. He called his wife in the evening, and last talked to her around midnight, saying that he would try to sleep a Add to Reading List Source URL: people.tuebingen.mpg.de Language: English - Date: 2014-12-08 17:26:37 Computational learning theory Empirical process Year of birth missing Machine learning Alexey Chervonenkis Statistical classification Vladimir Vapnik Support vector machine Glivenko–Cantelli theorem Statistics Mathematics Mathematical sciences
5	video demo End-User Web Scraping: Google Scholar Edition Sarah Chasins Add to Reading List Source URL: www.icir.org Language: English - Date: 2014-12-10 15:02:23 Computational learning theory Year of birth missing Statistical classification Theoretical computer science Vladimir Vapnik Support vector machine Vapnik–Chervonenkis theory Structural risk minimization Machine learning Statistics Artificial intelligence
6	Introduction to Statistical Inference and Learning Instructors: Jonathan Rosenblatt, Boaz Nadler In this course we will cover the basic concepts underlying modern data analysis, machine learning and statistical inference Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2014-11-05 01:46:12 Machine learning Vladimir Vapnik Year of birth missing Density estimation Estimation theory Parametric statistics Interval estimation Kernel smoother Computational learning theory Statistics Statistical inference Non-parametric statistics
7	ARTICLE Communicated by Vladimir Vapnik Estimating the Support of a High-Dimensional Distribution Bernhard Sch olkopf Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2001-08-21 03:24:53 Signal processing Non-parametric statistics Kernel principal component analysis Kernel density estimation Mathematical optimization Vector space Gaussian function Supervised learning Support vector machine Algebra Statistics Mathematics
8	PDF Document Add to Reading List Source URL: www.ieee.org Language: English Science Terry Sejnowski IEEE Frank Rosenblatt Award Teuvo Kohonen Geoffrey Hinton Hans-Paul Schwefel Vladimir Vapnik Computational intelligence Evolutionary computation Year of birth missing Artificial intelligence Machine learning