Boosting Foundations Algorithms by Schapire Robert (16 results)
- Softcover
Seller: Bellwetherbooks, McKeesport, U.S.A.Bellwetherbooks
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- Softcover
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- Softcover
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- Hardcover
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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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- Softcover
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- Softcover
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- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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- Softcover
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- Softcover
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- Softcover
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Condition: New. Series: Adaptive Computation and Machine Learning Series. Num Pages: 544 pages, 77 b&w illus. BIC Classification: UMB; UYA; UYQM. Category: (P) Professional & Vocational. Dimension: 181 x 230 x 24. Weight in Grams: 854. . 2014. Paperback. . . . .
- Softcover
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Condition: New. Series: Adaptive Computation and Machine Learning Series. Num Pages: 544 pages, 77 b&w illus. BIC Classification: UMB; UYA; UYQM. Category: (P) Professional & Vocational. Dimension: 181 x 230 x 24. Weight in Grams: 854. . 2014. Paperback. . . . . Books ship from the US and Ireland.
- Softcover
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Paperback. Condition: Brand New. 544 pages. 9.00x7.00x0.94 inches. In Stock.
- Softcover
- Print on Demand
Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE
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Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
- Softcover
- Print on Demand
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Boosting | Foundations and Algorithms | Robert E. Schapire (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2014 | MIT Press | EAN 9780262526036 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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US$ 74.82
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - An accessible introduction and essential reference for an approach to machine learning that creates highly accurate prediction rules by combining many weak and inaccurate ones.
