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Gaussian Processes Machine Learning by Rasmussen Carl (41 results)
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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!
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Condition: Very Good. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.
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Condition: New. pp. xviii + 248.
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US$ 57.42
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US$ 57.52
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Gaussian Processes for Machine Learning
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
US$ 62.65
Convert currencyUS$ 7.93 shipping from United Kingdom to U.S.A.Quantity: 4 available
Add to basketHRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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US$ 63.35
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Add to basketCondition: New. pp. xviii + 248 Illus.
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Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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US$ 63.93
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Add to basketCondition: New. pp. xviii + 248.
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US$ 50.36
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Add to basketHardcover. Condition: Very Good. In stock ready to dispatch from the UK.
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Gaussian Processes for Machine Learning (Hardcover)
Published by MIT Press Ltd, Cambridge, Mass., 2005
ISBN 10: 026218253X ISBN 13: 9780262182539
Language: English
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 received 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.
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US$ 77.59
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Hardback. Condition: New.
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US$ 77.59
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Gaussian Processes for Machine Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 59.82
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Gaussian Processes for Machine Learning
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
US$ 69.68
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Add to basketCondition: 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. Category: (P) Professional & Vocational. Dimension: 261 x 212 x 18. Weight in Grams: 720. . . . . .
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US$ 80.42
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Gaussian Processes for Machine Learning
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
US$ 80.44
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Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning series)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 67.25
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Gaussian Processes for Machine Learning
Published by MIT Press 2006-01-10, 2006
ISBN 10: 026218253X ISBN 13: 9780262182539
Language: English
US$ 63.31
Convert currencyUS$ 20.92 shipping from United Kingdom to U.S.A.Quantity: 4 available
Add to basketHardcover. Condition: New.
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Gaussian Processes for Machine Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 70.55
Convert currencyUS$ 20.26 shipping from United Kingdom to U.S.A.Quantity: 3 available
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Gaussian Processes for Machine Learning
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 69.86
Convert currencyUS$ 21.95 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHardback. Condition: New. New copy - Usually dispatched within 4 working days. 950.
