Reproducing Kernel Spaces and Applications

Daniel Alpay

ISBN 10: 3034894309 / ISBN 13: 9783034894302

Published by Birkhäuser, Birkhäuser Nov 2012, 2012

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -20. Pattern recognition and statistical learning theory (the theory of support vector machines). See [40], [58]. In this last volume we refer in particular to the papers [63] and [64]. Since this topic is maybe less known to the operator theory community we mention that the support vector method is a general approach to function estimation problems. See [63, p. 26]. We note that the above list and the given references are by no way exhaustive. We refer to the first section of the paper of S. Saitoh in the present volume for another (and mainly different) list of topics where reproducing kernel spaces appear. Quite often a given question is best understood in a reproducing kernel Hilbert space (for instance when using Cauchy's formula in the Hardy space H ) 2 and one finds oneself as Mr Jourdain of Moliere' Bourgeois Gentilhomme speaking Prose without knowing it [48, p. 51]: Par ma foil il y a plus de quarante ans que je dis de la prose sans que l j'en susse rien.Springer Nature c/o IBS, Benzstrasse 21, 48619 Heek 364 pp. Englisch.

Seller Inventory # 9783034894302

Bibliographic Details

• Title: Reproducing Kernel Spaces and Applications
• Publisher: Birkhäuser, Birkhäuser Nov 2012
• Publication Date: 2012
• Language: English
• ISBN 10: 3034894309
• ISBN 13: 9783034894302
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 254W x 178H x 20D millimeters 254 millimeters width by 178 millimeters height by 20 millimeters depth
• Weight: 684 grams

About this title

Synopsis

20. Pattern recognition and statistical learning theory (the theory of support vector machines). See [40], [58]. In this last volume we refer in particular to the papers [63] and [64]. Since this topic is maybe less known to the operator theory community we mention that the support vector method is a general approach to function estimation problems. See [63, p. 26]. We note that the above list and the given references are by no way exhaustive. We refer to the first section of the paper of S. Saitoh in the present volume for another (and mainly different) list of topics where reproducing kernel spaces appear. Quite often a given question is best understood in a reproducing kernel Hilbert space (for instance when using Cauchy's formula in the Hardy space H ) 2 and one finds oneself as Mr Jourdain of Moliere' Bourgeois Gentilhomme speaking Prose without knowing it [48, p. 51]: Par ma foil il y a plus de quarante ans que je dis de la prose sans que l j'en susse rien.