Lingua: Inglese
Editore: SIAM: Society for Industrial and Applied Mathematics, 2004
ISBN 10: 0898715636 ISBN 13: 9780898715637
Da: Reader's Corner, Inc., Raleigh, NC, U.S.A.
Prima edizione
Soft cover. Condizione: As New. 1st Edition. This is a fine, as new, first edition, first printing paperback copy, red wraps. 96 pages with index and bibliography.
Lingua: Inglese
Editore: MP-SIA SIAM - Society for Industrial and Applied M, 2004
ISBN 10: 0898715636 ISBN 13: 9780898715637
Da: Brook Bookstore On Demand, Napoli, NA, Italia
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Lingua: Inglese
Editore: SIAM: Society for Industrial and Applied Mathematics, 2004
ISBN 10: 0898715636 ISBN 13: 9780898715637
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: SIAM: Society for Industrial and Applied Mathematics, 2004
ISBN 10: 0898715636 ISBN 13: 9780898715637
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics, 2004
ISBN 10: 0898715636 ISBN 13: 9780898715637
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Aggiungi al carrelloCondizione: New. 2004. paperback. . . . . .
Lingua: Inglese
Editore: SIAM: Society for Industrial and Applied Mathematics, 2004
ISBN 10: 0898715636 ISBN 13: 9780898715637
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Lingua: Inglese
Editore: Society for Industrial & Applied, 2004
ISBN 10: 0898715636 ISBN 13: 9780898715637
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Aggiungi al carrelloPaperback. Condizione: Brand New. illustrated edition. 104 pages. 9.50x6.75x0.25 inches. In Stock.
Lingua: Inglese
Editore: Society for Industrial & Applied Mathematics,U.S., 2004
ISBN 10: 0898715636 ISBN 13: 9780898715637
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: New. New copy - Usually dispatched within 4 working days.
Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics (SIAM), 2004
ISBN 10: 0898715636 ISBN 13: 9780898715637
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: SIAM: Society for Industrial and Applied Mathematics, 2004
ISBN 10: 0898715636 ISBN 13: 9780898715637
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 72,49
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics,U.S., US, 2004
ISBN 10: 0898715636 ISBN 13: 9780898715637
Da: Rarewaves.com USA, London, LONDO, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: New. Bayesian Nonparametrics via Neural Networks is the first book to focus on neural networks in the context of nonparametric regression and classification, working within the Bayesian paradigm. It discusses neural networks in a statistical context, an approach in contrast to existing books, which tend to treat neural networks as a machine learning algorithm instead of a statistical model. Once this underlying statistical model is recognized, other standard statistical techniques can be applied to improve the model. The Bayesian approach allows better accounting for uncertainty. This book covers uncertainty in model choice and ways to deal with this issue, exploring ideas from statistics and machine learning. An analysis on the choice of prior and new noninformative priors is included, along with a substantial literature review. Written for statisticians using statistical terminology, this book will lead statisticians to an increased understanding of the neural network model and its applicability to real-world problems.
Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics, 2004
ISBN 10: 0898715636 ISBN 13: 9780898715637
Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New. 2004. paperback. . . . . . Books ship from the US and Ireland.
Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics,U.S., US, 2004
ISBN 10: 0898715636 ISBN 13: 9780898715637
Da: Rarewaves.com UK, London, Regno Unito
EUR 75,34
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Bayesian Nonparametrics via Neural Networks is the first book to focus on neural networks in the context of nonparametric regression and classification, working within the Bayesian paradigm. It discusses neural networks in a statistical context, an approach in contrast to existing books, which tend to treat neural networks as a machine learning algorithm instead of a statistical model. Once this underlying statistical model is recognized, other standard statistical techniques can be applied to improve the model. The Bayesian approach allows better accounting for uncertainty. This book covers uncertainty in model choice and ways to deal with this issue, exploring ideas from statistics and machine learning. An analysis on the choice of prior and new noninformative priors is included, along with a substantial literature review. Written for statisticians using statistical terminology, this book will lead statisticians to an increased understanding of the neural network model and its applicability to real-world problems.