Items related to Learning Kernel Classifiers – Theory & Algorithms...
Synopsis
An overview of the theory and application of kernel classification methods.
Linear classifiers in kernel spaces have emerged as a major topic within the field of machine learning. The kernel technique takes the linear classifier―a limited, but well-established and comprehensively studied model―and extends its applicability to a wide range of nonlinear pattern-recognition tasks such as natural language processing, machine vision, and biological sequence analysis. This book provides the first comprehensive overview of both the theory and algorithms of kernel classifiers, including the most recent developments. It begins by describing the major algorithmic advances: kernel perceptron learning, kernel Fisher discriminants, support vector machines, relevance vector machines, Gaussian processes, and Bayes point machines. Then follows a detailed introduction to learning theory, including VC and PAC-Bayesian theory, data-dependent structural risk minimization, and compression bounds. Throughout, the book emphasizes the interaction between theory and algorithms: how learning algorithms work and why. The book includes many examples, complete pseudo code of the algorithms presented, and an extensive source code library.
"synopsis" may belong to another edition of this title.
About the Author
Ralf Herbrich is a Postdoctoral Researcher in the Machine Learning and Perception Group at Microsoft Research Cambridge and a Research Fellow of Darwin College, University of Cambridge.
"About this title" may belong to another edition of this title.
Buy New
View this item
£ 31.24
£ 22.32 shipping from U.S.A. to United Kingdom
Destination, rates & speeds
Search results for Learning Kernel Classifiers – Theory & Algorithms...
Stock Image
Learning Kernel Classifiers: Theory and Algorithms (Adaptive Computation and Machine Learning)
Published by
The MIT Press (edition ), 2001
ISBN 10: 026208306X
ISBN 13: 9780262083065
Used
Hardcover
Seller: BooksRun, Philadelphia, PA, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: Very Good. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported. Seller Inventory # 026208306X-8-1
Quantity: 1 available
Stock Image
Learning Kernel Classifiers: Theory and Algorithms (Adaptive Computation and Machine Learning)
Seller: SecondSale, Montgomery, IL, U.S.A.
Seller rating 4 out of 5 stars
Condition: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc. Seller Inventory # 00084853439
Quantity: 1 available
Stock Image
Learning Kernel Classifiers: Theory and Algorithms
Seller: BookHolders, Towson, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: Good. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: First ] Publisher: The MIT Press Pub Date: 1/1/2002 Binding: Hardcover Pages: 366 First edition. Seller Inventory # 6841374
Quantity: 1 available
Seller Image
Learning Kernel Classifiers: Theory and Algorithms
Seller: Shiny Owl Books, Gloucester, NSW, Australia
Seller rating 5 out of 5 stars
Hardcover. Condition: Very Good. Dust Jacket Condition: Fine. Second printing. Size: Medium (20 to 26cm). Item Type: Book. Text body is clean and unmarked. Binding tight, spine fine. ISBN: 026208306X. ISBN/EAN: 9780262083065. **Heavy Book. A Postage surcharge may be requested. Contact us BEFORE ordering for a quote. Click Ask Bookseller a Question**. Seller Inventory # 53969
Quantity: 1 available
Stock Image
Learning Kernel Classifiers: Theory and Algorithms (Adaptive Computation and Machine Learning)
Seller: Toscana Books, AUSTIN, TX, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks. Seller Inventory # Scanned026208306X
Quantity: 1 available
Seller Image
Learning Kernel Classifiers: Theory and Algorithms (Adaptive Computation and Machine Learning)
Seller: Goodwill of Silicon Valley, SAN JOSE, CA, U.S.A.
Seller rating 4 out of 5 stars
Condition: good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear. Seller Inventory # GWSVV.026208306X.G
Quantity: 1 available
Seller Image
Learning Kernel Classifiers: Theory and Algorithms (Adaptive Computation and Machine Learning)
Seller: Goodwill of Silicon Valley, SAN JOSE, CA, U.S.A.
Seller rating 4 out of 5 stars
Condition: acceptable. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Acceptable condition! Any other included accessories are also in Acceptable condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear such as cover tears discoloration, staining, marks, scuffs, etc. All pages intact. Seller Inventory # GWSVV.026208306X.A
Quantity: 1 available
Stock Image
Learning Kernel Classifiers: Theory and Algorithms (Adaptive Computation and Machine Learning)
Seller: HPB-Red, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
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_382663183
Quantity: 1 available