An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods
Cristianini, Nello; Shawe-Taylor, John
9780521780193
ISBN 13: 9780521780193
Publication Date: 2000
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Support vector machines deliver state-of-the-art performance in real world applications such as text categorisation, image classification, biosequences analysis, etc., and are established as a standard tool for machine learning and data mining.
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Introduction to Support Vector Machines and Other Kernel-Based Learning Methods (ISBN: 9780521780193) Cristianini, Nello; Shawe-Taylor, John Quantity Available: 1
Book Description: Cambridge University Press, 2000. Hardback. Book Condition: New. New book. Shipped from UK. Bookseller Inventory # BB-9780521780193 Bookseller & Payment Information | More Books from this Seller | Ask Bookseller a Question |
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An Introduction to Support Vector Machines and Other Kernel-based Learning Methods (ISBN: 0521780195 / 0-521-78019-5) Cristianini, Nello; Shawe-Taylor, John Quantity Available: 1
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Introduction to Support Vector Machines and Other Kernel-Based Learning Methods (ISBN: 9780521780193) Cristianini, Nello; Shawe-Taylor, John Quantity Available: 1
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An Introduction to Support Vector Machines and Other Kernel-based Learning Methods (ISBN: 9780521780193) Cristianini, Nello; Shawe-Taylor, John Quantity Available: > 20
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An Introduction to Support Vector Machines and Other Kernel-based Learning Methods (ISBN: 9780521780193) Cristianini, Nello; Shawe-Taylor, John Quantity Available: 5
Book Description: Cambridge University Press. Hardback. Book Condition: new. BRAND NEW, An Introduction to Support Vector Machines and Other Kernel-based Learning Methods, Nello Christianini, John Shawe-Taylor, Nello Cristianini, This is the first comprehensive introduction to Support Vector Machines (SVMs), a new 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. Bookseller Inventory # B9780521780193 Bookseller & Payment Information | More Books from this Seller | Ask Bookseller a Question |
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An Introduction to Support Vector Machines and Other Kernel-based Learning Methods (ISBN: 0521780195 / 0-521-78019-5) Cristianini, Nello; Shawe-Taylor, John Quantity Available: 1
Book Description: Cambridge University Press, 2000. Hardback. Book Condition: New. 9.72 by .91 inches. (204 pages) A comprehensive introduction to this recent method for machine learning and data mining.This is the first comprehensive introduction to Support Vector Machines (SVMs), a new 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. ( Hardback). Bookseller Inventory # AA0521780195 Bookseller & Payment Information | More Books from this Seller | Ask Bookseller a Question |
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An Introduction to Support Vector Machines and Other Kernel-based Learning (ISBN: 0521780195 / 0-521-78019-5) Cristianini, Nello; Shawe-Taylor, John Quantity Available: 1
Book Description: Cambridge University Press, 2000. hardback. Book Condition: New. *** NEW COPY *** TITLE SHIPPED FROM UK *** Binding hardback A comprehensive introduction to this recent method for machine learning and data mining. This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical. Bookseller Inventory # 0521780195 Bookseller & Payment Information | More Books from this Seller | Ask Bookseller a Question |
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An Introduction to Support Vector Machines and Other Kernel-based Learning Methods (ISBN: 0521780195 / 0-521-78019-5) Cristianini, Nello; Shawe-Taylor, John Quantity Available: > 20
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An Introduction to Support Vector Machines: And Other Kernel-Based Learning Methods (ISBN: 0521780195 / 0-521-78019-5) Cristianini, Nello; Shawe-Taylor, John Quantity Available: > 20
Book Description: Cambridge Univ Pr, 2000. Hardcover. Book Condition: Brand New. 1st edition. 189 pages. 10.25x7.25x0.75 inches. In Stock. Bookseller Inventory # __0521780195 Bookseller & Payment Information | More Books from this Seller | Ask Bookseller a Question |
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AN INTRODUCTION TO SUPPORT VECTOR MACHINES AND OTHER KERNEL-BASED LEARNING METHODS (ISBN: 9780521780193) Cristianini, Nello; Shawe-Taylor, John Quantity Available: 2
Book Description: Cambridge University Press, 2000. Hardback. Book Condition: Neu. 255 mm x 174 mm x 14 mm. - This is the first comprehensive introduction to Support Vector Machines (SVMs), a new 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.< Englisch. Bookseller Inventory # 9780521780193 Bookseller & Payment Information | More Books from this Seller | Ask Bookseller a Question |
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