Kernel Methods Machine Learning by Kung (21 results)

- Hardcover
Seller: AwesomeBooks, Wallingford, United KingdomAwesomeBooks
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US$ 112.25
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Hardcover. Condition: Very Good. Kernel Methods and Machine Learning This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus…far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .

- Hardcover
Seller: Bahamut Media, Reading, United KingdomBahamut Media
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US$ 110.31
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Hardcover. Condition: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.

- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condition: New.

- Hardcover
Seller: California Books, Miami, FL, U.S.A.California Books
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Condition: New.

- Hardcover
Seller: Anybook.com, Lincoln, United KingdomAnybook.com
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Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1400grams, ISBN:9781107024960.

- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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US$ 135.20
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Condition: New. In.

- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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US$ 135.18
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Condition: New.

- Hardcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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US$ 176.65
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Hardback. Condition: New. Offering a fundamental basis in kernel-based learning theory, this book covers both statistical and algebraic principles. It provides over 30 major theorems for kernel-based supervised and unsupervised learning models. The first of the theorems establishes a condition, arguably necessary and sufficient,… for the kernelization of learning models. In addition, several other theorems are devoted to proving mathematical equivalence between seemingly unrelated models. With over 25 closed-form and iterative algorithms, the book provides a step-by-step guide to algorithmic procedures and analysing which factors to consider in tackling a given problem, enabling readers to improve specifically designed learning algorithms, build models for new applications and develop efficient techniques suitable for green machine learning technologies. Numerous real-world examples and over 200 problems, several of which are Matlab-based simulation exercises, make this an essential resource for graduate students and professionals in computer science, electrical and biomedical engineering. Solutions to problems are provided online for instructors.

- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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US$ 193.95
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Condition: New. pp. 495 Index.

- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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US$ 195.21
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Hardcover. Condition: Brand New. 591 pages. 10.00x6.00x1.00 inches. In Stock.

- Hardcover
Seller: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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US$ 244.92
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Condition: New. Covering the fundamentals of kernel-based learning theory, this is an essential resource for graduate students and professionals in computer science. Num Pages: 572 pages, 136 b/w illus. 21 tables. BIC Classification: UYQM; UYQP. Category: (U) Tertiary Education (US: College). Dimension: 255 x 174 x 32. Weight in… Grams: 1354. . 2014. 1st Edition. hardcover. . . . . Books ship from the US and Ireland.

- Hardcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
Contact seller5-star sellerCondition: New
US$ 177.99
US$ 88.05 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Hardback. Condition: New. Offering a fundamental basis in kernel-based learning theory, this book covers both statistical and algebraic principles. It provides over 30 major theorems for kernel-based supervised and unsupervised learning models. The first of the theorems establishes a condition, arguably necessary and sufficient,… for the kernelization of learning models. In addition, several other theorems are devoted to proving mathematical equivalence between seemingly unrelated models. With over 25 closed-form and iterative algorithms, the book provides a step-by-step guide to algorithmic procedures and analysing which factors to consider in tackling a given problem, enabling readers to improve specifically designed learning algorithms, build models for new applications and develop efficient techniques suitable for green machine learning technologies. Numerous real-world examples and over 200 problems, several of which are Matlab-based simulation exercises, make this an essential resource for graduate students and professionals in computer science, electrical and biomedical engineering. Solutions to problems are provided online for instructors.

- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: Used - As new
US$ 258.12
US$ 20.32 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Condition: As New. Unread book in perfect condition.

- Hardcover
Seller: Mispah books, Redhill, SURRE, United KingdomMispah books
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US$ 246.97
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Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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US$ 277.56
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Condition: As New. Unread book in perfect condition.

- Hardcover
- First Edition
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
Contact seller5-star sellerCondition: New
US$ 297.10
US$ 11.05 shippingShips from Ireland to U.S.A.Quantity: Over 20 available
Condition: New. Covering the fundamentals of kernel-based learning theory, this is an essential resource for graduate students and professionals in computer science. Num Pages: 572 pages, 136 b/w illus. 21 tables. BIC Classification: UYQM; UYQP. Category: (U) Tertiary Education (US: College). Dimension: 255 x 174 x 32. Weight in… Grams: 1354. . 2014. 1st Edition. hardcover. . . . .

- Hardcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
US$ 145.79
US$ 50.12 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Hardcover. Condition: new. Hardcover. Offering a fundamental basis in kernel-based learning theory, this book covers both statistical and algebraic principles. It provides over 30 major theorems for kernel-based supervised and unsupervised learning models. The first of the theorems establishes a condition, arguably necessary and… sufficient, for the kernelization of learning models. In addition, several other theorems are devoted to proving mathematical equivalence between seemingly unrelated models. With over 25 closed-form and iterative algorithms, the book provides a step-by-step guide to algorithmic procedures and analysing which factors to consider in tackling a given problem, enabling readers to improve specifically designed learning algorithms, build models for new applications and develop efficient techniques suitable for green machine learning technologies. Numerous real-world examples and over 200 problems, several of which are Matlab-based simulation exercises, make this an essential resource for graduate students and professionals in computer science, electrical and biomedical engineering. Solutions to problems are provided online for instructors. Containing numerous algorithms and major theorems, this step-by-step guide covers the fundamentals of kernel-based learning theory. Including over two hundred problems and real-world examples, it is an essential resource for graduate students and professionals in computer science, electrical and biomedical engineering. Solutions to problems are provided online for instructors. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

- Hardcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
Contact seller5-star sellerCondition: New
US$ 149.89
US$ 56.97 shippingShips from Germany to U.S.A.Quantity: Over 20 available
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Containing numerous algorithms and major theorems, this step-by-step guide covers the fundamentals of kernel-based learning theory. Including over two hundred problems and real-world examples, it is an essential resou…rce for graduate students and profession.

- Hardcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
Contact seller4-star sellerCondition: New
US$ 197.49
US$ 8.81 shippingShips from United Kingdom to U.S.A.Quantity: 4 available
Condition: New. Print on Demand pp. 495 136 Illus.

- Hardcover
- Print on Demand
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
Contact seller4-star sellerCondition: New
US$ 216.77
US$ 11.57 shippingShips from Germany to U.S.A.Quantity: 4 available
Condition: New. PRINT ON DEMAND pp. 495.
More images- Hardcover
- Print on Demand
Seller: preigu, Osnabrück, Germanypreigu
Contact seller5-star sellerCondition: New
US$ 155.46
US$ 81.40 shippingShips from Germany to U.S.A.Quantity: 5 available
Buch. Condition: Neu. Kernel Methods and Machine Learning | S. Y. Kung | Buch | Gebunden | Englisch | 2014 | Cambridge University Press | EAN 9781107024960 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.