Gaussian Processes Machine Learning by Carl Edward (31 results)
- Hardcover
Seller: Evergreen Goodwill, Seattle, WA, U.S.A.Evergreen Goodwill
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hardcover. Condition: Acceptable. Pages include notes, underlining, or highlighting.
Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning series) [Hardcover] Rasmussen, Carl Edward and Williams, Christopher K. I.
Carl Edward Rasmussen(Author); Christopher K. I. Williams(Author)
- Hardcover
Seller: Academic US, Piscataway, NJ, U.S.A.Academic US
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- Hardcover
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- Hardcover
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- Hardcover
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- Hardcover
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- Hardcover
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Hardcover. Condition: new. Hardcover. A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines.Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have receiv…ed increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified treatment of theoretical and practical aspects of GPs in machine learning. The treatment is comprehensive and self-contained, targeted at researchers and students in machine learning and applied statistics. The book deals with the supervised-learning problem for both regression and classification, and includes detailed algorithms. A wide variety of covariance (kernel) functions are presented and their properties discussed. Model selection is discussed both from a Bayesian and a classical perspective. Many connections to other well-known techniques from machine learning and statistics are discussed, including support-vector machines, neural networks, splines, regularization networks, relevance vector machines and others. Theoretical issues including learning curves and the PAC-Bayesian framework are treated, and several approximation methods for learning with large datasets are discussed. The book contains illustrative examples and exercises, and code and datasets are available on the Web. Appendixes provide mathematical background and a discussion of Gaussian Markov processes. A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Hardcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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- Hardcover
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- Hardcover
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Condition: New. pp. xviii + 248.
- Hardcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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- Hardcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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£ 47.18
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Condition: New. pp. xviii + 248 Illus.
- Hardcover
Seller: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.Romtrade Corp.
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- Hardcover
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- Hardcover
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- Hardcover
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
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Condition: New. 2006. Hardcover. A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines. Series: Adaptive Computation and Machine Learning Series. Num Pages: 266 pages, Illustrations. BIC Classification: PBW; UYQM. Catego…ry: (P) Professional & Vocational. Dimension: 261 x 212 x 18. Weight in Grams: 720. . . . . .
- Hardcover
Seller: Greener Books, London, United KingdomGreener Books
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Hardcover. Condition: Used; Very Good. **SHIPPED FROM UK** We believe you will be completely satisfied with our quick and reliable service. All orders are dispatched as swiftly as possible! Buy with confidence! Greener Books.
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Condition: New.
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 2448 pages. 10.00x7.00x1.00 inches. In Stock.
- Hardcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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hardcover. Condition: New.
- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Condition: New. In.
Published by The MIT Press, Cambridge, MA, 2006
- Hardcover
Seller: Twice Sold Tales, Capitol Hill, Seattle, WA, U.S.A.Twice Sold Tales, Capitol Hill
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£ 33.95
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Hardcover, 248 pages. Condition: Good. Ninth Printing. Ninth Printing. No DJ. Gilding on outer spine. Scuffing and minor soiling to boards. Bumping to outer spine and boards. Light soiling to text block. Pages are clean and appear to be free of writing and highlighting. Binding is tight.
- Hardcover
Seller: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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£ 59.50
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Condition: New. 2006. Hardcover. A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines. Series: Adaptive Computation and Machine Learning Series. Num Pages: 266 pages, Illustrations. BIC Classification: PBW; UYQM. Catego…ry: (P) Professional & Vocational. Dimension: 261 x 212 x 18. Weight in Grams: 720. . . . . . Books ship from the US and Ireland.
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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£ 50.90
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Condition: As New. Unread book in perfect condition.
- Hardcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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£ 62.87
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Condition: New. pp. xviii + 248.
- Hardcover
Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE
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£ 50.96
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- Hardcover
Seller: Rarewaves USA United, HEBRON, KY, U.S.A.Rarewaves USA United
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Hardback. Condition: New.
- Hardcover
Seller: BennettBooksLtd, Los Angeles, CA, U.S.A.BennettBooksLtd
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hardcover. Condition: New. In shrink wrap. Looks like an interesting title.
- Hardcover
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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Hardcover. Condition: new. Hardcover. A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines.Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have receiv…ed increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified treatment of theoretical and practical aspects of GPs in machine learning. The treatment is comprehensive and self-contained, targeted at researchers and students in machine learning and applied statistics. The book deals with the supervised-learning problem for both regression and classification, and includes detailed algorithms. A wide variety of covariance (kernel) functions are presented and their properties discussed. Model selection is discussed both from a Bayesian and a classical perspective. Many connections to other well-known techniques from machine learning and statistics are discussed, including support-vector machines, neural networks, splines, regularization networks, relevance vector machines and others. Theoretical issues including learning curves and the PAC-Bayesian framework are treated, and several approximation methods for learning with large datasets are discussed. The book contains illustrative examples and exercises, and code and datasets are available on the Web. Appendixes provide mathematical background and a discussion of Gaussian Markov processes. A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
- Hardcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
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£ 48.48
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Hardback. Condition: New.
