WorldCat Identities

Vapnik, Vladimir Naumovich

Overview
Works: 25 works in 125 publications in 5 languages and 2,695 library holdings
Roles: Editor
Classifications: Q325.7, 006.31
Publication Timeline
Key
Publications about  Vladimir Naumovich Vapnik Publications about Vladimir Naumovich Vapnik
Publications by  Vladimir Naumovich Vapnik Publications by Vladimir Naumovich Vapnik
Most widely held works about Vladimir Naumovich Vapnik
 
Most widely held works by Vladimir Naumovich Vapnik
Statistical learning theory by Vladimir Naumovich Vapnik ( )
15 editions published in 1998 in English and held by 1,039 WorldCat member libraries worldwide
A comprehensive look at learning and generalization theory. The statistical theory of learning and generalization concerns the problem of choosing desired functions on the basis of empirical data. Highly applicable to a variety of computer science and robotics fields, this book offers lucid coverage of the theory as a whole. Presenting a method for determining the necessary and sufficient conditions for consistency of learning process, the author covers function estimates from small data pools, applying these estimations to real-life problems, and much more
Estimation of dependences based on empirical data by Vladimir Naumovich Vapnik ( Book )
41 editions published between 1982 and 2010 in English and German and held by 836 WorldCat member libraries worldwide
Provides the classical foundation of Statistical Learning Theory. Divided into two parts, this book covers a spectrum of ideas related to the essence of intelligence: from the rigorous statistical foundation of learning models to broad philosophical imperatives for generalization. It is intended for statisticians, mathematicians, and others
The nature of statistical learning theory by Vladimir Naumovich Vapnik ( Book )
33 editions published between 1995 and 2010 in 3 languages and held by 685 WorldCat member libraries worldwide
The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. This second edition contains three new chapters devoted to further development of the learning theory and SVM techniques
Theorie der Zeichenerkennung by Vladimir Naumovich Vapnik ( Book )
4 editions published in 1979 in German and held by 35 WorldCat member libraries worldwide
Teorii︠a︡ raspoznavanii︠a︡ obrazov. Stat. problemy obuchenii︠a︡ by Vladimir Naumovich Vapnik ( Book )
3 editions published in 1974 in Russian and Bulgarian and held by 15 WorldCat member libraries worldwide
Estimation of Dependences Based on Empirical Data Empirical Inference Science Afterword of 2006 by Vladimir Naumovich Vapnik ( )
2 editions published in 2006 in English and held by 14 WorldCat member libraries worldwide
Vosstanovlenie zavisimosteĭ po ėmpiricheskim dannym by Vladimir Naumovich Vapnik ( Book )
1 edition published in 1979 in Russian and held by 12 WorldCat member libraries worldwide
Algoritmy i programmy vosstanovlenii︠a︡ zavisimosteĭ ( Book )
1 edition published in 1984 in Russian and held by 11 WorldCat member libraries worldwide
Tong ji xue xi li lun de ben zhi by Vladimir Naumovich Vapnik ( )
2 editions published in 2000 in Chinese and held by 9 WorldCat member libraries worldwide
The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the main results of learning theory and their connections to fundamental problems in statistics. These include: * the setting of learning problems based on the model of minimizing the risk functional from empirical data * a comprehensive analysis of the empirical risk minimization principle including necessary and sufficient conditions for its consistency * non-asymptotic bounds for the risk achieved using the empirical risk minimization principle * principles for controlling the generalization ability of learning machines using small sample sizes based on these bounds * the Support Vector methods that control the generalization ability when estimating function using small sample size. The second edition of the book contains three new chapters devoted to further development of the learning theory and SVM techniques. These include: * the theory of direct method of learning based on solving multidimensional integral equations for density, conditional probability, and conditional density estimation * a new inductive principle of learning. Written in a readable and concise style, the book is intended for statisticians, mathematicians, physicists, and computer scientists. Vladimir N. Vapnik is Technology Leader AT&T Labs-Research and Professor of London University. He is one of the founders of
Teorija raspoznavanija obrazov : statističeskie problemy obučenija by Vladimir Naumovich Vapnik ( Book )
3 editions published in 1974 in Russian and Undetermined and held by 7 WorldCat member libraries worldwide
Tong ji xue xi li lun = Statistical learning theory by Vladimir Naumovich Vapnik ( Book )
3 editions published between 2004 and 2009 in Chinese and held by 5 WorldCat member libraries worldwide
Vosstanovlenie zavisimostej po ėmpiričeskim dannym by Vladimir Naumovich Vapnik ( Book )
2 editions published in 1979 in Russian and held by 4 WorldCat member libraries worldwide
Problemy sovremennoĭ kibernetiki ( Book )
1 edition published in 1975 in Russian and held by 3 WorldCat member libraries worldwide
Algoritmy obuchenii︠a︡ raspoznavanii︠u︡ obrazov ( Book )
1 edition published in 1973 in Russian and held by 3 WorldCat member libraries worldwide
Zadacha obucheniia raspoznavaniiu obrazov by Vladimir Naumovich Vapnik ( Book )
1 edition published in 1971 in Russian and held by 2 WorldCat member libraries worldwide
Sovremennye problemy kibernetiki : sbornik by Vladimir Naumovich Vapnik ( Book )
2 editions published in 1972 in Russian and held by 2 WorldCat member libraries worldwide
Ocherki o matematike : sbornik stateĭ ( Book )
1 edition published in 1973 in Russian and held by 2 WorldCat member libraries worldwide
Estimation of Dependences Based on Empirical Data Empirical Inference Science by Vladimir Naumovich Vapnik ( )
2 editions published in 2006 in English and held by 2 WorldCat member libraries worldwide
Provides the classical foundation of Statistical Learning Theory. Divided into two parts, this book covers a spectrum of ideas related to the essence of intelligence: from the rigorous statistical foundation of learning models to broad philosophical imperatives for generalization. It is intended for statisticians, mathematicians, and others
Structure of statistical learning theory by Vladimir Naumovich Vapnik ( )
1 edition published in 1996 in English and held by 1 WorldCat member library worldwide
Teoriâ raspoznavaniâ obrazov : statističeskie problemy obučeniâ by Vladimir Naumovich Vapnik ( Book )
1 edition published in 1974 in Russian and held by 1 WorldCat member library worldwide
 
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Alternative Names
Vapnik, V.
Vapnik, V. N.
Vapnik, Vladimir.
Vapnik, Vladimir N.
Vapnik Vladimir Naoumovitch
Vapnik, Vladimir Naumovič
Vapnik, Vladimir Naumovich
Wapnik-Tscherwonenkis, ...
Wapnik, W. N.
Languages
English (92)
Russian (15)
German (6)
Chinese (5)
Bulgarian (1)
Covers