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Empirical Inference: Festschrift in Honor of Vladimir N. Vapnik by Bernhard Schoelkopf, Vladimir Vovk, Zhiyuan Luo (Paperback, 2016)

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This book honours the outstanding contributions of Vladimir Vapnik, a rare example of a scientist for whom the following statements hold true simultaneously: his work led to the inception of a new field of research, the theory of statistical learning and empirical inference; he has lived to see the field blossom; and he is still as active as ever. He started analyzing learning algorithms in the 1960s and he invented the first version of the generalized portrait algorithm. He later developed one of the most successful methods in machine learning, the support vector machine (SVM) - more than just an algorithm, this was a new approach to learning problems, pioneering the use of functional analysis and convex optimization in machine learning. Part I of this book contains three chapters describing and witnessing some of Vladimir Vapnik's contributions to science. In the first chapter, Leon Bottou discusses the seminal paper published in 1968 by Vapnik and Chervonenkis that lay the foundations of statistical learning theory, and the second chapter is an English-language translation of that original paper. In the third chapter, Alexey Chervonenkis presents a first-hand account of the early history of SVMs and valuable insights into the first steps in the development of the SVM in the framework of the generalised portrait method. The remaining chapters, by leading scientists in domains such as statistics, theoretical computer science, and mathematics, address substantial topics in the theory and practice of statistical learning theory, including SVMs and other kernel-based methods, boosting, PAC-Bayesian theory, online and transductive learning, loss functions, learnable function classes, notions of complexity for function classes, multitask learning, and hypothesis selection. These contributions include historical and context notes, short surveys, and comments on future research directions. This book will be of interest to researchers, engineers, and graduate students engaged with all aspects of statistical learning.

Product Identifiers

Publisher
Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
ISBN-13
9783662525111
eBay Product ID (ePID)
226317940

Product Key Features

Author
Bernhard Schoelkopf, Vladimir Vovk, Zhiyuan Luo
Publication Name
Empirical Inference: Festschrift in Honor of Vladimir N. Vapnik
Format
Paperback
Language
English
Subject
Computer Science, Mathematics
Publication Year
2016
Type
Textbook
Number of Pages
287 Pages

Dimensions

Item Height
235mm
Item Width
155mm
Item Weight
4686g

Additional Product Features

Editor
Vladimir Vovk, Bernhard Schoelkopf, Zhiyuan Luo
Country/Region of Manufacture
Germany

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Empirical Inference: Festschrift in Honor of Vladimir N. Vapnik by Bernhard Schoelkopf, Vladimir Vovk, Zhiyuan Luo (Paperback, 2016)

About this product

Product Information

Product Identifiers

Product Key Features

Dimensions

Additional Product Features

Best Selling in Adult Learning & University

Eduqas GCSE (9-1) Religious Studies Route B: Catholic Christianity and Judaism by Deirdre Cleary, Andrew Barron, Joy White, Patrick Harrison (Paperback, 2017)

Polyvagal Exercises for Safety and Connection: 50 Client-Centered Practices by Deb Dana (Paperback, 2020)

Save on Adult Learning & University

Netter Atlas of Human Anatomy: Classic Regional Approach

Michael Nehls The Indoctrinated Brain (Hardback) (US IMPORT)

Bill Perkins Die With Zero (Paperback)

Havard's Nursing Guide to Drugs

The Fourth Turning By Neil Howe, William Strauss

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