Lingua: Inglese
Editore: Wiley-IEEE Press (edition 2), 2007
ISBN 10: 0471681822 ISBN 13: 9780471681823
Da: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condizione: Very Good. 2. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Hardcover. Condizione: 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!
Da: MERS Goodwill, Saint Louis, MO, U.S.A.
Condizione: acceptable. Used - Acceptable: All pages and the cover are intact, but shrink wrap, dust covers, or boxed set case may be missing. Pages may include limited notes, highlighting, or minor water damage but the text is readable. Pages may include limited notes and highlighting, but the text cannot be obscured or unreadable. Any access codes or passwords originally included with the book may be expired, used or no longer valid. Image is stock photo and cover art edition may be different than pictured.
EUR 38,40
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Aggiungi al carrelloHardcover. Condizione: Gut. Second edition. 560 pp. Cover sun-bleached at the spine, otherwise very well preserved copy 324 Sprache: Englisch Gewicht in Gramm: 1200.
EUR 18,89
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Aggiungi al carrellohardcover. Condizione: Gut. 560 Seiten; 9780471681823.3 Gewicht in Gramm: 1.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 145,42
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EUR 159,89
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EUR 165,65
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 156,67
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Wiley-IEEE Press 2007-09-11, 2007
ISBN 10: 0471681822 ISBN 13: 9780471681823
Da: Chiron Media, Wallingford, Regno Unito
EUR 176,36
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Aggiungi al carrelloHardcover. Condizione: New.
EUR 176,13
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
EUR 194,56
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Aggiungi al carrelloCondizione: New. pp. xviii + 538 Illus.
EUR 196,76
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Aggiungi al carrelloCondizione: New. An interdisciplinary framework for learning methodologies, covering statistics, neural networks, and fuzzy logic, Learning from Data provides a unified treatment of the principles and methods for learning dependencies from data. Num Pages: 538 pages, Illustrations. BIC Classification: UYQM. Category: (P) Professional & Vocational. Dimension: 244 x 157 x 38. Weight in Grams: 906. . 2007. 2nd Edition. Hardcover. . . . .
Condizione: New. pp. xviii + 538 2nd Edition.
EUR 169,95
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Aggiungi al carrelloGebunden. Condizione: New. Vladimir CherKassky, PhD, is Professor of Electrical and Computer Engineering at the University of Minnesota. He is internationally known for his research on neural networks and statistical learning.Filip Mulier, PhD, has worked in the software field for th.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 210,22
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 200,73
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Aggiungi al carrelloHardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
EUR 233,50
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 229,85
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Aggiungi al carrelloHardcover. Condizione: Brand New. 2nd edition. 538 pages. 9.75x6.50x1.25 inches. In Stock.
EUR 248,97
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Aggiungi al carrelloCondizione: New. An interdisciplinary framework for learning methodologies, covering statistics, neural networks, and fuzzy logic, Learning from Data provides a unified treatment of the principles and methods for learning dependencies from data. Num Pages: 538 pages, Illustrations. BIC Classification: UYQM. Category: (P) Professional & Vocational. Dimension: 244 x 157 x 38. Weight in Grams: 906. . 2007. 2nd Edition. Hardcover. . . . . Books ship from the US and Ireland.
EUR 236,81
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware - An interdisciplinary framework for learning methodologies-now revised and updatedLearning from Data provides a unified treatment of the principles and methods for learning dependencies from data. It establishes a general conceptual framework in which various learning methods from statistics, neural networks, and pattern recognition can be applied-showing that a few fundamental principles underlie most new methods being proposed today in statistics, engineering, and computer science.Since the first edition was published, the field of data-driven learning has experienced rapid growth. This Second Edition covers these developments with a completely revised chapter on support vector machines, a new chapter on noninductive inference and alternative learning formulations, and an in-depth discussion of the VC theoretical approach as it relates to other paradigms.Complete with over one hundred illustrations, case studies, examples, and chapter summaries, Learning from Data accommodates both beginning and advanced graduate students in engineering, computer science, and statistics. It is also indispensable for researchers and practitioners in these areas who must understand the principles and methods for learning dependencies from data.
Da: Revaluation Books, Exeter, Regno Unito
EUR 207,94
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 2nd edition. 538 pages. 9.75x6.50x1.25 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: John Wiley & Sons Inc, Chicester, 2007
ISBN 10: 0471681822 ISBN 13: 9780471681823
Da: CitiRetail, Stevenage, Regno Unito
EUR 199,53
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. An interdisciplinary framework for learning methodologiescovering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and methods for learning dependencies from data. It establishes a general conceptual framework in which various learning methods from statistics, neural networks, and fuzzy logic can be appliedshowing that a few fundamental principles underlie most new methods being proposed today in statistics, engineering, and computer science. Complete with over one hundred illustrations, case studies, and examples making this an invaluable text. An interdisciplinary framework for learning methodologies, covering statistics, neural networks, and fuzzy logic, Learning from Data provides a unified treatment of the principles and methods for learning dependencies from data. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.