Picture 1 of 6
Gallery
Picture 1 of 6
Have one to sell?
Information Science and Statistics Ser.: Support Vector Machines by Andreas...
US $150.00
ApproximatelyS$ 196.19
Condition:
Oops! Looks like we're having trouble connecting to our server.
Refresh your browser window to try again.
Shipping:
US $6.72 (approx S$ 8.79) USPS Media MailTM.
Located in: Lowell, Massachusetts, United States
Delivery:
Estimated between Wed, 26 Nov and Thu, 4 Dec to 94104
Returns:
No returns accepted.
Coverage:
Read item description or contact seller for details. See all detailsSee all details on coverage
(Not eligible for eBay purchase protection programmes)
About this item
Seller assumes all responsibility for this listing.
eBay item number:227085355801
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- ISBN
- 9780387772417
About this product
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
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 HornÃková, 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.
Item description from the seller
Seller feedback (290)
- a***6 (40)- Feedback left by buyer.Past monthVerified purchaseWell wrapped, book as described in the photos. Price is excellent based on what is described in the photos. Second time with this seller and will not be the last one.
- o***g (277)- Feedback left by buyer.Past yearVerified purchaseGreat seller! I incorrectly thought they had sent me the wrong item because I am a silly goose, and they were very responsive and seeking to resolve the problem quickly. Great seller, very trustworthy and communicative. Also my item was in good condition and wrapped well for shipping.Addison-Wesley Signature Series (Fowler) Ser.: Refactoring : Improving the... (#226549093256)
- n***n (78)- Feedback left by buyer.Past yearVerified purchaseI have had the privilege of buying from this seller on multiple occasions. In addition to having an unmatched selection of items, they are very responsive, thoughtful in how items are packed for shipping, and a joy to work with in general. My wallet is dreading the day this seller lists more items because I know I will be buying from them first thing.5 books for chancbowma-0 (#226482740228)