|
|
|
books
| book details |
Empirical Inference: Festschrift in Honor of Vladimir N. Vapnik
Edited by Bernhard Schölkopf, Edited by Zhiyuan Luo, Edited by Vladimir Vovk
|
| on special |
normal price: R 2 320.95
Price: R 2 088.95
|
| book description |
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, Léon 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 details |
Normally shipped |
Publisher | Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Published date | 23 Aug 2016
Language |
Format | Paperback / softback
Pages | 287
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-6625-2511-1
Readership Age |
BISAC | computers / artificial intelligence
| other options |
Normally shipped |
Readership Age |
Normal Price | R 3 498.95
Price | R 3 148.95
| on special |
|
|
|
To view the items in your trolley please sign in.
| sign in |
|
|
|
| specials |
|
|
This first comprehensive biography of Cecil Rhodes in a generation illuminates Rhodes’s vision for the expansion of imperialism in southern Africa, connecting politics and industry to internal development, and examines how this fueled a lasting, white-dominated colonial society.
|
Look around you is anything real or normal any more? News, images and videos created by AI are everywhere.
|
|
|
|
|
