%DA%A4%D9%84%D8%A7%D8%AF%D9%8A%D9%85%D9%8A%D8%B1_%DA%A4%D8%A7%D9%BE%D9%86%D9%8A%D9%83Wladimir_Naumowitsch_WapnikVladimir_Vapnik%D9%88%D9%84%D8%A7%D8%AF%DB%8C%D9%85%DB%8C%D8%B1_%D9%88%D9%BE%D9%86%DB%8C%DA%A9Vladimir_Vapnik%D7%95%D7%9C%D7%93%D7%99%D7%9E%D7%99%D7%A8_%D7%95%D7%A4%D7%A0%D7%99%D7%A7Vladimir_VapnikVladimir_VapnikVladimir_Vapnik%D0%92%D0%B0%D0%BF%D0%BD%D0%B8%D0%BA,_%D0%92%D0%BB%D0%B0%D0%B4%D0%B8%D0%BC%D0%B8%D1%80_%D0%9D%D0%B0%D1%83%D0%BC%D0%BE%D0%B2%D0%B8%D1%87%D0%92%D0%B0%D0%BF%D0%BD%D0%B8%D0%BA_%D0%92%D0%BE%D0%BB%D0%BE%D0%B4%D0%B8%D0%BC%D0%B8%D1%80_%D0%9D%D0%B0%D1%83%D0%BC%D0%BE%D0%B2%D0%B8%D1%87Q983367%E5%BC%97%E6%8B%89%E5%9F%BA%E7%B1%B3%E5%B0%94%C2%B7%E4%B8%87%E6%99%AE%E5%B0%BC%E5%85%8B
about
On the Uniform Convergence of Relative Frequencies of Events to Their ProbabilitiesA new learning paradigm: learning using privileged information.Machine learning classification with confidence: application of transductive conformal predictors to MRI-based diagnostic and prognostic markers in depression.A training algorithm for optimal margin classifiersSupport-vector networksGene Selection for Cancer Classification using Support Vector MachinesQ56906379Inference with the UniversumFalsificationism and Statistical Learning Theory: Comparing the Popper and Vapnik-Chervonenkis DimensionsLearning Curves: Asymptotic Values and Rate of ConvergenceOn the Theory of Learnining with Privileged InformationParallel Support Vector Machines: The Cascade SVMKernel Dependency EstimationA Support Vector Method for ClusteringVicinal Risk MinimizationFeature Selection for SVMsModel Selection for Support Vector MachinesTransductive Inference for Estimating Values of FunctionsSupport Vector Method for Multivariate Density Estimation
P50
Q29011890-1b18d64b-4ea3-b266-52e7-565afc510a81Q39960312-60DF24F7-46A6-43DA-9EF9-8EC1E9CD40E8Q45962941-EB819A2E-DE83-4C59-AED8-AEDAEB38A912Q52373851-009F2362-923D-4860-B3D7-BCC5764A9B22Q55922708-BEAF7C41-857B-46BB-BE54-DCAA983CCC98Q56535529-3C1EE463-373B-4D80-B5F5-89E910F20D7CQ56906379-914E8CFB-9F16-4D6D-AB92-1D96AF09B489Q57983725-1F930BF0-7444-43D9-BB1C-2F3A460C6E37Q58155629-9579D9F7-D79A-4957-80A9-3BEEA69EC6D9Q77617027-1E535350-A3B8-47B8-8EF7-8834E213FDC9Q77667640-8F387D95-01AB-463E-A56F-466F84AF1462Q77688184-FEF0ED81-F02F-4060-9E5A-FA704EB0A87DQ77691338-9A78F268-66F8-4EFB-AB59-FE2CEB2D22F5Q77695045-78DF22D7-3D79-4300-8040-A486FF1A85B6Q77695064-3B6C789A-00F3-4840-A1AD-B538E3C386ADQ77695158-D807B742-AAE8-4AFE-9957-1A880FE0DA52Q77695656-9F72FF51-9DA0-40B0-B301-FE0EBA9B4BEAQ77695728-D7E970E6-B9FB-4B26-9F37-F265AEF2639CQ77695823-FEB2A579-BEFD-407A-94E5-DDA9437DECEF
P50
description
Russian mathematician
@en
Russian mathematician
@en-ca
Russian mathematician
@en-gb
Russisch wiskundige
@nl
Venemaa matemaatik
@et
matematician rus
@ro
matematico e statistico sovietico
@it
matematikan rus
@sq
matemàtic rus
@ca
matemático ruso
@es
name
Vladimir Vapnik
@en
Vladimir Vapnik
@es
Vladimir Vapnik
@fr
Vladimir Vapnik
@ht
Vladimir Vapnik
@it
Vladimir Vapnik
@nl
Vladimir Vapnik
@pt
Vladimir Vapnik
@sl
Vladimir Vapnik
@sq
Wladimir Naumowitsch Wapnik
@de
type
label
Vladimir Vapnik
@en
Vladimir Vapnik
@es
Vladimir Vapnik
@fr
Vladimir Vapnik
@ht
Vladimir Vapnik
@it
Vladimir Vapnik
@nl
Vladimir Vapnik
@pt
Vladimir Vapnik
@sl
Vladimir Vapnik
@sq
Wladimir Naumowitsch Wapnik
@de
altLabel
Vladimir Naumovich Vapnik
@en
Vladimir Naumovich Vapnik
@fr
Vladimir Naumovič Vapnik
@it
Vladimir Vapnik
@de
Wapnik
@de
Wladimir Wapnik
@de
Вапник Владимир Наумович
@nl
Вапник Владимир Наумович
@ru
Вапник
@ru
Вапник, Владимир
@ru
prefLabel
Vladimir Vapnik
@en
Vladimir Vapnik
@es
Vladimir Vapnik
@fr
Vladimir Vapnik
@ht
Vladimir Vapnik
@it
Vladimir Vapnik
@nl
Vladimir Vapnik
@pt
Vladimir Vapnik
@sl
Vladimir Vapnik
@sq
Wladimir Naumowitsch Wapnik
@de