Information Science and Statistics Ser.: Support Vector Machines by Andreas...

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Artikelzustand
Neu: Neues, ungelesenes, ungebrauchtes Buch in makellosem Zustand ohne fehlende oder beschädigte ...
ISBN
9780387772417
Kategorie

Über dieses Produkt

Product Information

This book provides a deep but still self-contained introduction to Support Vector Machines (SVMs) and their role in statistical problems.

Product Identifiers

Publisher
Springer New York
ISBN-10
0387772413
ISBN-13
9780387772417
eBay Product ID (ePID)
65983397

Product Key Features

Number of Pages
Xvi, 603 Pages
Language
English
Publication Name
Support Vector Machines
Publication Year
2008
Subject
Probability & Statistics / General, Computer Science, Intelligence (Ai) & Semantics, Algebra / General
Type
Textbook
Subject Area
Computers, Mathematics
Author
Andreas Christmann, Ingo Steinwart
Series
Information Science and Statistics Ser.
Format
Hardcover

Dimensions

Item Weight
38.4 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Intended Audience
Scholarly & Professional
Dewey Edition
22
Reviews
From the reviews: "This book has many remarkable qualities which make it commendable to a large mathematical audience. ...It is probably the first book on this topic...which is genuinely aimed at a mathematician reader. No technical issue is avoided, and fine points like measurability, integrability, existence and regularity of solutions, etc., are addressed with due rigor and precision. ...The authors take special care to make the book self-contained and accessible to non-specialists...always including very detailed proofs for all results. A substantial appendix acts as a handy reference of fundamental results of analysis and probability needed throughout the book, even including a full proof of Talagrand's concentration inequality. Many well-thought -out exercises very nicely complete each chapter. Finally, the book as a whole, though voluminous and presenting for the most part some very recent results, always stays very coherent to its choices and goals, and obviously a lot of effort has gone into a clear organization of the material. This work is bound to be recognized as a classic reference on this topic." (MathSciNet) "This book presents an extensive account of ... Support Vector Machines (SVMs). ... The book has many remarkable qualities which make it commendable to a large mathematical audience. First of all it is probably the first book on this topic ... which is genuinely aimed at a mathematician reader. ... Secondly, the authors take special care to make the book self contained and accessible to non-specialists ... . Many well thought-out exercises very nicely complete each chapter. ... a classic reference on this topic." (Gilles Blanchard, Mathematical Reviews, Issue 2010 f) "A mathematically elaborated topic of support vector machines in a book full with definitions and lemmas. It presents support vector machines (SVMs) as a successful modeling and prediction tool with different examples. This book has 12 chapters and 9 appendices that introduce also marginal applications of SVMs. ... This book is ... suitable as a textbook on SVMs for graduate courses ... ." (Adriana Horn íková , Technometrics, Vol. 53 (2), May, 2011), From the reviews:"This book has many remarkable qualities which make it commendable to a large mathematical audience. …It is probably the first book on this topic…which is genuinely aimed at a mathematician reader. No technical issue is avoided, and fine points like measurability, integrability, existence and regularity of solutions, etc., are addressed with due rigor and precision. …The authors take special care to make the book self-contained and accessible to non-specialists…always including very detailed proofs for all results. A substantial appendix acts as a handy reference of fundamental results of analysis and probability needed throughout the book, even including a full proof of Talagrand's concentration inequality. Many well-thought out exercises very nicely complete each chapter. Finally, the book as a whole, though voluminous and presenting for the most part some very recent results, always stays very coherent to its choices and goals, and obviously a lot of effort has gone into a clear organization of the material. This work is bound to be recognized as a classic reference on this topic." (MathSciNet)This book presents an extensive account of … Support Vector Machines (SVMs). … The book has many remarkable qualities which make it commendable to a large mathematical audience. First of all it is probably the first book on this topic … which is genuinely aimed at a mathematician reader. … Secondly, the authors take special care to make the book self contained and accessible to non-specialists … . Many well thought-out exercises very nicely complete each chapter. … a classic reference on this topic. (Gilles Blanchard, Mathematical Reviews, Issue 2010 f), From the reviews: "This book has many remarkable qualities which make it commendable to a large mathematical audience. ...It is probably the first book on this topic...which is genuinely aimed at a mathematician reader. No technical issue is avoided, and fine points like measurability, integrability, existence and regularity of solutions, etc., are addressed with due rigor and precision. ...The authors take special care to make the book self-contained and accessible to non-specialists...always including very detailed proofs for all results. A substantial appendix acts as a handy reference of fundamental results of analysis and probability needed throughout the book, even including a full proof of Talagrand's concentration inequality. Many well-thought -out exercises very nicely complete each chapter. Finally, the book as a whole, though voluminous and presenting for the most part some very recent results, always stays very coherent to its choices and goals, and obviously a lot of effort has gone into a clear organization of the material. This work is bound to be recognized as a classic reference on this topic." (MathSciNet) "This book presents an extensive account of ... Support Vector Machines (SVMs). ... The book has many remarkable qualities which make it commendable to a large mathematical audience. First of all it is probably the first book on this topic ... which is genuinely aimed at a mathematician reader. ... Secondly, the authors take special care to make the book self contained and accessible to non-specialists ... . Many well thought-out exercises very nicely complete each chapter. ... a classic reference on this topic." (Gilles Blanchard, Mathematical Reviews, Issue 2010 f) "A mathematically elaborated topic of support vector machines in a book full with definitions and lemmas. It presents support vector machines (SVMs) as a successful modeling and prediction tool with different examples. This book has 12 chapters and 9 appendices that introduce also marginal applications of SVMs. ... This book is ... suitable as a textbook on SVMs for graduate courses ... ." (Adriana Horn kov , Technometrics, Vol. 53 (2), May, 2011), From the reviews:This book has many remarkable qualities which make it commendable to a large mathematical audience. …It is probably the first book on this topic…which is genuinely aimed at a mathematician reader. No technical issue is avoided, and fine points like measurability, integrability, existence and regularity of solutions, etc., are addressed with due rigor and precision. …The authors take special care to make the book self-contained and accessible to non-specialists…always including very detailed proofs for all results. A substantial appendix acts as a handy reference of fundamental results of analysis and probability needed throughout the book, even including a full proof of Talagrand's concentration inequality. Many well-thought out exercises very nicely complete each chapter. Finally, the book as a whole, though voluminous and presenting for the most part some very recent results, always stays very coherent to its choices and goals, and obviously a lot of effort has gone into a clear organization of the material. This work is bound to be recognized as a classic reference on this topic. (MathSciNet)This book presents an extensive account of … Support Vector Machines (SVMs). … The book has many remarkable qualities which make it commendable to a large mathematical audience. First of all it is probably the first book on this topic … which is genuinely aimed at a mathematician reader. … Secondly, the authors take special care to make the book self contained and accessible to non-specialists … . Many well thought-out exercises very nicely complete each chapter. … a classic reference on this topic. (Gilles Blanchard, Mathematical Reviews, Issue 2010 f)A mathematically elaborated topic of support vector machines in a book full with definitions and lemmas. It presents support vector machines (SVMs) as a successful modeling and prediction tool with different examples. This book has 12 chapters and 9 appendices that introduce also marginal applications of SVMs. … This book is … suitable as a textbook on SVMs for graduate courses … . (Adriana Horníková, Technometrics, Vol. 53 (2), May, 2011)
Number of Volumes
1 Vol.
Illustrated
Yes
Dewey Decimal
006.31
Lc Classification Number
Q334-342
Table of Content
Loss Functions and Their Risks.- Surrogate Loss Functions (*).- Kernels and Reproducing Kernel Hilbert Spaces.- Infinite-Sample Versions of Support VectorMachines.- Basic Statistical Analysis of SVMs.- Advanced Statistical Analysis of SVMs (*).- Support Vector Machines for Classification.- Support Vector Machines for Regression..- Robustness.- Computational Aspects.- Data Mining.

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