Editore: Springer, 2005
ISBN 10: 1852337788 ISBN 13: 9781852337780
Da: medimops, Berlin, Germania
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Editore: Springer, 2005
ISBN 10: 1852337788 ISBN 13: 9781852337780
Da: Phatpocket Limited, Waltham Abbey, HERTS, Regno Unito
Condizione: Like New. Used - Like New. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Editore: Springer, 1999
ISBN 10: 1852330953 ISBN 13: 9781852330958
Da: Solr Books, Skokie, IL, U.S.A.
Condizione: VeryGood.
Editore: Springer, 1999
ISBN 10: 1852330953 ISBN 13: 9781852330958
Da: booksXpress, Bayonne, NJ, U.S.A.
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Editore: Springer, 1999
ISBN 10: 1852330953 ISBN 13: 9781852330958
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Editore: Springer, 1999
ISBN 10: 1852330953 ISBN 13: 9781852330958
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Editore: Springer, 1999
ISBN 10: 1852330953 ISBN 13: 9781852330958
Da: California Books, Miami, FL, U.S.A.
Condizione: New.
Editore: London ; Berlin ; Tokyo ; Heidelberg ; New York ; Barcelona ; Hong Kong ; Milan ; Paris ; Santa Clara ; Singapore : Springer, 1999
ISBN 10: 1852330953 ISBN 13: 9781852330958
Da: Roland Antiquariat UG haftungsbeschränkt, Weinheim, Germania
Softcover. XXIII, 275 S. : graph. Darst. ; 24 cm Like new. Unread book. --- Neuwertiger Zustand. Ungelesenes Buch. 9781852330958 Sprache: Deutsch Gewicht in Gramm: 467 Softcover reprint of the original 1st ed. 1999.
Editore: Springer, 1999
ISBN 10: 1852330953 ISBN 13: 9781852330958
Da: Ria Christie Collections, Uxbridge, Regno Unito
Condizione: NEW. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Editore: The MIT Press, 2009
ISBN 10: 026201386X ISBN 13: 9780262013864
Da: BennettBooksLtd, North Las Vegas, NV, U.S.A.
hardcover. Condizione: NEW. In shrink wrap! Looks like an interesting title!.
Editore: Springer, 1999
ISBN 10: 1852330953 ISBN 13: 9781852330958
Da: GreatBookPricesUK, Castle Donington, DERBY, Regno Unito
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Editore: Springer London Ltd, 1999
ISBN 10: 1852330953 ISBN 13: 9781852330958
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
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Editore: Springer, 1999
ISBN 10: 1852330953 ISBN 13: 9781852330958
Da: Revaluation Books, Exeter, Regno Unito
Paperback. Condizione: NEW. 275 pages. 9.50x6.25x0.75 inches. In Stock.
Editore: Springer London Ltd, 1999
ISBN 10: 1852330953 ISBN 13: 9781852330958
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Condizione: NEW. Using two alternative approaches, the GM network and the GM-RVFL model, this study of the applications of neural networks includes a case study of the prediction of housing prices in the Boston metropolitan area, and examines the required modifications to standard approaches. Series: Perspectives in Neural Computing. Num Pages: 298 pages, 13 black & white illustrations. BIC Classification: JFFR; UYQN. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 16. Weight in Grams: 460. . 1999. Softcover reprint of the original 1st ed. 1999. Paperback. . . . .
Editore: Springer, 1999
ISBN 10: 1852330953 ISBN 13: 9781852330958
Da: GreatBookPricesUK, Castle Donington, DERBY, Regno Unito
Condizione: As New. Unread book in perfect condition.
Editore: Springer, 2024
ISBN 10: 1852330953 ISBN 13: 9781852330958
Da: Save With Sam, North Miami, FL, U.S.A.
paperback. Condizione: New. Brand New! This item is printed on demand.
Editore: Springer London, 1999
ISBN 10: 1852330953 ISBN 13: 9781852330958
Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Conventional applications of neural networks usually predict a single value as a function of given inputs. In forecasting, for example, a standard objective is to predict the future value of some entity of interest on the basis of a time series of past measurements or observations. Typical training schemes aim to minimise the sum of squared deviations between predicted and actual values (the 'targets'), by which, ideally, the network learns the conditional mean of the target given the input. If the underlying conditional distribution is Gaus sian or at least unimodal, this may be a satisfactory approach. However, for a multimodal distribution, the conditional mean does not capture the relevant features of the system, and the prediction performance will, in general, be very poor. This calls for a more powerful and sophisticated model, which can learn the whole conditional probability distribution. Chapter 1 demonstrates that even for a deterministic system and 'be nign' Gaussian observational noise, the conditional distribution of a future observation, conditional on a set of past observations, can become strongly skewed and multimodal. In Chapter 2, a general neural network structure for modelling conditional probability densities is derived, and it is shown that a universal approximator for this extended task requires at least two hidden layers. A training scheme is developed from a maximum likelihood approach in Chapter 3, and the performance ofthis method is demonstrated on three stochastic time series in chapters 4 and 5.
Editore: Springer London, 1999
ISBN 10: 1852330953 ISBN 13: 9781852330958
Da: moluna, Greven, Germania
Kartoniert / Broschiert. Condizione: NEW. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides unique, comprehensive coverage of generalisation and regularisation: Provides the first real-world test results for recent theoretical findings on the generalisation performance of committeesConventional applications of neural networks usually .
Editore: Springer London Ltd, 1999
ISBN 10: 1852330953 ISBN 13: 9781852330958
Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: NEW. Using two alternative approaches, the GM network and the GM-RVFL model, this study of the applications of neural networks includes a case study of the prediction of housing prices in the Boston metropolitan area, and examines the required modifications to standard approaches. Series: Perspectives in Neural Computing. Num Pages: 298 pages, 13 black & white illustrations. BIC Classification: JFFR; UYQN. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 16. Weight in Grams: 460. . 1999. Softcover reprint of the original 1st ed. 1999. Paperback. . . . . Books ship from the US and Ireland.
Editore: Springer London Feb 1999, 1999
ISBN 10: 1852330953 ISBN 13: 9781852330958
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Conventional applications of neural networks usually predict a single value as a function of given inputs. In forecasting, for example, a standard objective is to predict the future value of some entity of interest on the basis of a time series of past measurements or observations. Typical training schemes aim to minimise the sum of squared deviations between predicted and actual values (the 'targets'), by which, ideally, the network learns the conditional mean of the target given the input. If the underlying conditional distribution is Gaus sian or at least unimodal, this may be a satisfactory approach. However, for a multimodal distribution, the conditional mean does not capture the relevant features of the system, and the prediction performance will, in general, be very poor. This calls for a more powerful and sophisticated model, which can learn the whole conditional probability distribution. Chapter 1 demonstrates that even for a deterministic system and 'be nign' Gaussian observational noise, the conditional distribution of a future observation, conditional on a set of past observations, can become strongly skewed and multimodal. In Chapter 2, a general neural network structure for modelling conditional probability densities is derived, and it is shown that a universal approximator for this extended task requires at least two hidden layers. A training scheme is developed from a maximum likelihood approach in Chapter 3, and the performance ofthis method is demonstrated on three stochastic time series in chapters 4 and 5. 300 pp. Englisch.
Editore: Springer 1999-02, 1999
ISBN 10: 1852330953 ISBN 13: 9781852330958
Da: Chiron Media, Wallingford, Regno Unito
PF. Condizione: New.
Editore: Springer, 2004
ISBN 10: 1852337788 ISBN 13: 9781852337780
Da: booksXpress, Bayonne, NJ, U.S.A.
Hardcover. Condizione: NEW.
Editore: Springer, 2010
ISBN 10: 1849969124 ISBN 13: 9781849969123
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Condizione: New.
Editore: Springer, 2005
ISBN 10: 1852337788 ISBN 13: 9781852337780
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Condizione: NEW.
Editore: Springer, 2005
ISBN 10: 1852337788 ISBN 13: 9781852337780
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Editore: Springer, 2005
ISBN 10: 1852337788 ISBN 13: 9781852337780
Da: Ria Christie Collections, Uxbridge, Regno Unito
Condizione: NEW. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Editore: Springer London Okt 2010, 2010
ISBN 10: 1849969124 ISBN 13: 9781849969123
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, machine learning, and the biological sciences. The first part of this book provides a self-contained introduction to the methodology of Bayesian networks. The following parts demonstrate how these methods are applied in bioinformatics and medical informatics. All three fields - the methodology of probabilistic modeling, bioinformatics, and medical informatics - are evolving very quickly. The text should therefore be seen as an introduction, offering both elementary tutorials as well as more advanced applications and case studies. 524 pp. Englisch.
Editore: Springer, 2005
ISBN 10: 1852337788 ISBN 13: 9781852337780
Da: GreatBookPricesUK, Castle Donington, DERBY, Regno Unito
Condizione: New.
Editore: Springer, 2005
ISBN 10: 1852337788 ISBN 13: 9781852337780
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Editore: Springer, 2010
ISBN 10: 1849969124 ISBN 13: 9781849969123
Da: booksXpress, Bayonne, NJ, U.S.A.
Soft Cover. Condizione: new.