Items related to An Introduction to Support Vector Machines and Other...
Synopsis
This is a comprehensive introduction to Support Vector Machines, a generation learning system based on advances in statistical learning theory.
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Review
This slim book is an excellent introduction to an exciting new field--the design and implementation of important new mathematical models as the optimising strategy for learning machines. The text deals clearly with both the concepts and the practical details of these models, and consistently steers away from the more speculative side of learning machines. At the same time, the authors never fail to communicate the wonder and excitement of working with the raw stuff of knowledge and impart a spark of intelligence to mechanisms.
An Introduction to Support Vector Machines is manifestly a text book, and as such leads the reader as a student through the concepts, history and implementation of kernel-based learning strategies, with plenty of pseudo-code examples, discussion and exercise questions (without answers), and the best modern bibliography of the subject available. The appendix attempts to summarise the background mathematics. It's thorough, accurate and useful as a reference: but it is not a tutorial, and may leave the novice reader with little training in set dynamics none the wiser. A well-rounded reader will sail through the intriguing first chapter, which discusses learning machines and techniques for teaching a machine (or computer program) to generalise. However chapter two, with its impenetrable conversation about "linear classification" replete with sigma notation and diagrams of "hyperplanes" may well discourage further reading. Excellent though this book is, the title is deceptive: it is indeed an "introduction"--but requires a fair background knowledge of automata and set theory.--Wilf Hey
Review
'... the most accessible introduction to the area I have yet seen'. D. J. Hand, Publication of the International Statistical Institute
'The book is an admirable presentation of this powerful new approach to pattern classification.' Alex M. Andrew, Robotica
' ... an excellent book, complete and readable without big requirements in mathematical functional analysis.' Zentralblatt für Mathematik und ihre Grenzgebiete Mathematics Abstracts
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An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
Published by
Cambridge University Press, 2000
ISBN 10: 0521780195
ISBN 13: 9780521780193
Used
Hardcover
Seller: Your Online Bookstore, Houston, TX, U.S.A.
Seller rating 5 out of 5 stars
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An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
Published by
Cambridge University Press, 2000
ISBN 10: 0521780195
ISBN 13: 9780521780193
Used
Hardcover
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Hardback. Condition: Good. This is the first comprehensive introduction to Support Vector Machines (SVMs), a generation learning system based on recent advances in statistical learning theory. SVMs deliver state-of-the-art performance in real-world applications such as text categorisation, hand-written character recognition, image classification, biosequences analysis, etc., and are now established as one of the standard tools for machine learning and data mining. Students will find the book both stimulating and accessible, while practitioners will be guided smoothly through the material required for a good grasp of the theory and its applications. The concepts are introduced gradually in accessible and self-contained stages, while the presentation is rigorous and thorough. Pointers to relevant literature and web sites containing software ensure that it forms an ideal starting point for further study. Equally, the book and its associated web site will guide practitioners to updated literature, new applications, and on-line software. Seller Inventory # 00110920253
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An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
Published by
Cambridge University Press, 2000
ISBN 10: 0521780195
ISBN 13: 9780521780193
Used
Hardcover
Seller: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. Seller Inventory # G0521780195I3N00
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An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
Published by
Cambridge University Press, 2000
ISBN 10: 0521780195
ISBN 13: 9780521780193
Used
Hardcover
Seller: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
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Hardcover. Condition: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. Seller Inventory # G0521780195I4N10
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An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
Published by
Cambridge University Press, 2000
ISBN 10: 0521780195
ISBN 13: 9780521780193
Used
Hardcover
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Hardcover. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. Seller Inventory # G0521780195I3N00
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An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
Published by
Cambridge University Press, 2000
ISBN 10: 0521780195
ISBN 13: 9780521780193
Used
Hardcover
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Hardcover. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. Seller Inventory # G0521780195I3N00
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An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
Published by
Cambridge University Press, 2000
ISBN 10: 0521780195
ISBN 13: 9780521780193
Used
Hardcover
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Hardcover. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. Seller Inventory # G0521780195I3N00
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An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods
Published by
Cambridge University Press, 2000
ISBN 10: 0521780195
ISBN 13: 9780521780193
Used
Hardcover
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An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
Published by
Cambridge University Press, 2000
ISBN 10: 0521780195
ISBN 13: 9780521780193
Used
Hardcover
Seller: World of Books Inc, Montgomery, IL, U.S.A.
Seller rating 4 out of 5 stars
Hardback. Condition: Good. This is the first comprehensive introduction to Support Vector Machines (SVMs), a generation learning system based on recent advances in statistical learning theory. SVMs deliver state-of-the-art performance in real-world applications such as text categorisation, hand-written character recognition, image classification, biosequences analysis, etc., and are now established as one of the standard tools for machine learning and data mining. Students will find the book both stimulating and accessible, while practitioners will be guided smoothly through the material required for a good grasp of the theory and its applications. The concepts are introduced gradually in accessible and self-contained stages, while the presentation is rigorous and thorough. Pointers to relevant literature and web sites containing software ensure that it forms an ideal starting point for further study. Equally, the book and its associated web site will guide practitioners to updated literature, new applications, and on-line software. Seller Inventory # CIN0521780195G
Stock Image
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
Published by
Cambridge University Press, 2000
ISBN 10: 0521780195
ISBN 13: 9780521780193
Used
Hardcover
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Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_427371641