Idioma: Inglés
Publicado por Wiley & Sons, Incorporated, John, 1998
ISBN 10: 0471030031 ISBN 13: 9780471030034
Librería: Better World Books Ltd, Dunfermline, Reino Unido
EUR 86,30
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Añadir al carritoCondición: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
EUR 214,35
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por John Wiley & Sons Inc, New York, 1998
ISBN 10: 0471030031 ISBN 13: 9780471030034
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Original o primera edición
EUR 216,64
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Añadir al carritoHardcover. Condición: new. Hardcover. A comprehensive look at learning and generalization theory. The statistical theory of learning and generalization concerns the problem of choosing desired functions on the basis of empirical data. Highly applicable to a variety of computer science and robotics fields, this book offers lucid coverage of the theory as a whole. Presenting a method for determining the necessary and sufficient conditions for consistency of learning process, the author covers function estimates from small data pools, applying these estimations to real-life problems, and much more. This book is devoted to the statistical theory of learning and generalization, that is, the problem of choosing the desired function on the basis of empirical data. The author will present the whole picture of learning and generalization theory. Learning theory has applications in many fields, such as psychology, education and computer science. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 206,95
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Añadir al carritoCondición: New. In.
EUR 222,85
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Añadir al carritoCondición: As New. Unread book in perfect condition.
EUR 208,11
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Añadir al carritoCondición: New.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 228,73
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EUR 220,03
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por John Wiley & Sons Inc, New York, 1998
ISBN 10: 0471030031 ISBN 13: 9780471030034
Librería: CitiRetail, Stevenage, Reino Unido
Original o primera edición
EUR 226,18
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: new. Hardcover. A comprehensive look at learning and generalization theory. The statistical theory of learning and generalization concerns the problem of choosing desired functions on the basis of empirical data. Highly applicable to a variety of computer science and robotics fields, this book offers lucid coverage of the theory as a whole. Presenting a method for determining the necessary and sufficient conditions for consistency of learning process, the author covers function estimates from small data pools, applying these estimations to real-life problems, and much more. This book is devoted to the statistical theory of learning and generalization, that is, the problem of choosing the desired function on the basis of empirical data. The author will present the whole picture of learning and generalization theory. Learning theory has applications in many fields, such as psychology, education and computer science. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
EUR 261,97
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Añadir al carritoCondición: New. pp. 768.
EUR 228,42
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Añadir al carritoCondición: New. A comprehensive look at learning and generalization theory. The statistical theory of learning and generalization concerns the problem of choosing desired functions on the basis of empirical data. Highly applicable to a variety of computer science and robot.
Idioma: Inglés
Publicado por John Wiley and Sons Ltd, 1998
ISBN 10: 0471030031 ISBN 13: 9780471030034
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 269,87
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Añadir al carritoCondición: New. This book is devoted to the statistical theory of learning and generalization, that is, the problem of choosing the desired function on the basis of empirical data. The author will present the whole picture of learning and generalization theory. Learning theory has applications in many fields, such as psychology, education and computer science. Series: Adaptive and Learning Systems for Signal Processing, Communications and Control Series. Num Pages: 768 pages, Illustrations. BIC Classification: PBKF; UYQM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 163 x 235 x 41. Weight in Grams: 1214. . 1998. Hardcover. . . . .
EUR 289,03
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Añadir al carritoCondición: New. pp. 768.
EUR 305,58
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Añadir al carritoHardcover. Condición: Brand New. 1st edition. 736 pages. 9.75x6.50x1.50 inches. In Stock.
Idioma: Inglés
Publicado por John Wiley and Sons Ltd, 1998
ISBN 10: 0471030031 ISBN 13: 9780471030034
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 340,18
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Añadir al carritoCondición: New. This book is devoted to the statistical theory of learning and generalization, that is, the problem of choosing the desired function on the basis of empirical data. The author will present the whole picture of learning and generalization theory. Learning theory has applications in many fields, such as psychology, education and computer science. Series: Adaptive and Learning Systems for Signal Processing, Communications and Control Series. Num Pages: 768 pages, Illustrations. BIC Classification: PBKF; UYQM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 163 x 235 x 41. Weight in Grams: 1214. . 1998. Hardcover. . . . . Books ship from the US and Ireland.
EUR 283,66
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. Neuware - Dieses Buch widmet sich der statistischen Theorie des Lernens und der Verallgemeinerung - das heißt, dem Problem der Auswahl der gewünschten Funktion auf der Basis empirischen Datenmaterials. Anwendung findet die Theorie auf vielen verschiedenen Gebieten - in neuronalen Netzwerken, Fuzzy-Logic-Systemen und künstlicher Intelligenz - beispielsweise in der Psychologie und der Informationswissenschaft. (8/98).
Idioma: Inglés
Publicado por John Wiley & Sons Inc, New York, 1998
ISBN 10: 0471030031 ISBN 13: 9780471030034
Librería: AussieBookSeller, Truganina, VIC, Australia
Original o primera edición
EUR 365,20
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: new. Hardcover. A comprehensive look at learning and generalization theory. The statistical theory of learning and generalization concerns the problem of choosing desired functions on the basis of empirical data. Highly applicable to a variety of computer science and robotics fields, this book offers lucid coverage of the theory as a whole. Presenting a method for determining the necessary and sufficient conditions for consistency of learning process, the author covers function estimates from small data pools, applying these estimations to real-life problems, and much more. This book is devoted to the statistical theory of learning and generalization, that is, the problem of choosing the desired function on the basis of empirical data. The author will present the whole picture of learning and generalization theory. Learning theory has applications in many fields, such as psychology, education and computer science. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 290,49
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 1st edition. 736 pages. 9.75x6.50x1.50 inches. In Stock. This item is printed on demand.