Stock photo: cover may vary
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods Hardback - 2000 - 1st Edition
by John Shawe-Taylor; Nello Cristianini
- Used
- very good
- Hardback
A$19.98
Free Delivery within USA
Standard delivery: 4 to 8 days
More delivery options
Standard delivery: 4 to 8 days
Details
- Title An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
- Author John Shawe-Taylor; Nello Cristianini
- Binding Hardback
- Edition number 1st
- Edition 1
- Condition Used - Very good
- Pages 204
- Volumes 1
- Language ENG
- Publisher Cambridge University Press, New York, New York, U.s.a.
- Publication date 2000
- Illustrated Yes
- Features Bibliography, Glossary, Illustrated, Index
- Bookseller's Inventory # G0521780195I4N10
- ISBN 9780521780193 / 0521780195
- Weight 1.1 lbs (0.50 kg)
- Dimensions 9.8 x 6.9 x 0.6 in (24.89 x 17.53 x 1.52 cm)
- Category Computers - General Information
- Library of Congress subjects Kernel functions, Support vector machines
- Library of Congress Catalogue Number 99054716
- Dewey Decimal Code 006.31
- Quantity available 1
About ThriftBooks Washington, United States
Biblio member since 2018
From the largest selection of used titles, we put quality, affordable books into the hands of readers
Reader reviews for An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
Write a review for this book
Important Terms and Guidelines
- Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
- Reviews must be at least 140 characters in length.
- Please do not reveal critical plot elements.
- This is not a help line. Contact customer support if you need help.
Your review must not include:
- Obscenities, discriminatory language, or other insulting language not suitable for public domain
- Advertisements, “spam” content, or references to other products, offers or websites.
- Email addresses, URLs, phone numbers, physical addresses or other contact information.
- Overly critical comments about other reviews or reviewers
- Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
- Availability, price, or alternative ordering/shipping information
