Tipo di articolo
Condizioni
Legatura
Ulteriori caratteristiche
Paese del venditore
Valutazione venditore
Editore: The MIT Press, 2009
ISBN 10: 026201386XISBN 13: 9780262013864
Da: Bellwetherbooks, McKeesport, PA, U.S.A.
Libro
hardcover. Condizione: As New. 1. LIKE NEW!!! Has a red or black remainder mark on bottom/exterior edge of pages.
Editore: Springer, 2005
ISBN 10: 1852337788ISBN 13: 9781852337780
Da: Phatpocket Limited, Waltham Abbey, HERTS, Regno Unito
Libro
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 London Ltd, 2005
ISBN 10: 1852337788ISBN 13: 9781852337780
Da: Ammareal, Morangis, Francia
Libro
Hardcover. Condizione: Très bon. Ancien livre de bibliothèque. Edition 2005. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 2005. Ammareal gives back up to 15% of this item's net price to charity organizations.
Editore: Springer, 1999
ISBN 10: 1852330953ISBN 13: 9781852330958
Da: Solr Books, Skokie, IL, U.S.A.
Libro
Condizione: VeryGood.
Editore: Springer, 1999
ISBN 10: 1852330953ISBN 13: 9781852330958
Da: booksXpress, Bayonne, NJ, U.S.A.
Libro
Soft Cover. Condizione: new.
Editore: Springer, 1999
ISBN 10: 1852330953ISBN 13: 9781852330958
Da: GreatBookPrices, Columbia, MD, U.S.A.
Libro
Condizione: As New. Unread book in perfect condition.
Editore: Springer, 1999
ISBN 10: 1852330953ISBN 13: 9781852330958
Da: Ria Christie Collections, Uxbridge, Regno Unito
Libro Print on Demand
Condizione: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Editore: London ; Berlin ; Tokyo ; Heidelberg ; New York ; Barcelona ; Hong Kong ; Milan ; Paris ; Santa Clara ; Singapore : Springer, 1999
ISBN 10: 1852330953ISBN 13: 9781852330958
Da: Roland Antiquariat UG haftungsbeschränkt, Weinheim, Germania
Libro
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: 1852330953ISBN 13: 9781852330958
Da: GreatBookPrices, Columbia, MD, U.S.A.
Libro
Condizione: New.
Editore: Springer, 1999
ISBN 10: 1852330953ISBN 13: 9781852330958
Da: Revaluation Books, Exeter, Regno Unito
Libro
Paperback. Condizione: Brand New. 275 pages. 9.50x6.25x0.75 inches. In Stock.
Editore: Springer London Ltd, 1999
ISBN 10: 1852330953ISBN 13: 9781852330958
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Libro
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 London, 1999
ISBN 10: 1852330953ISBN 13: 9781852330958
Da: AHA-BUCH GmbH, Einbeck, Germania
Libro
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: 1852330953ISBN 13: 9781852330958
Da: moluna, Greven, Germania
Libro Print on Demand
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: 1852330953ISBN 13: 9781852330958
Da: Kennys Bookstore, Olney, MD, U.S.A.
Libro
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: 1852330953ISBN 13: 9781852330958
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Libro Print on Demand
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: 1852330953ISBN 13: 9781852330958
Da: Chiron Media, Wallingford, Regno Unito
Libro
PF. Condizione: New.
Editore: Springer, 2010
ISBN 10: 1849969124ISBN 13: 9781849969123
Da: booksXpress, Bayonne, NJ, U.S.A.
Libro
Soft Cover. Condizione: new.
Editore: Springer, 2004
ISBN 10: 1852337788ISBN 13: 9781852337780
Da: booksXpress, Bayonne, NJ, U.S.A.
Libro
Hardcover. Condizione: new.
Editore: Springer, 2010
ISBN 10: 1849969124ISBN 13: 9781849969123
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Libro
Condizione: New.
Editore: Springer, 2005
ISBN 10: 1852337788ISBN 13: 9781852337780
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Libro
Condizione: New.
Editore: Springer, 2005
ISBN 10: 1852337788ISBN 13: 9781852337780
Da: GreatBookPrices, Columbia, MD, U.S.A.
Libro
Condizione: New.
Editore: Springer, 2005
ISBN 10: 1852337788ISBN 13: 9781852337780
Da: Ria Christie Collections, Uxbridge, Regno Unito
Libro Print on Demand
Condizione: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Editore: Springer London Feb 2005, 2005
ISBN 10: 1852337788ISBN 13: 9781852337780
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Libro Print on Demand
Buch. 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 London Okt 2010, 2010
ISBN 10: 1849969124ISBN 13: 9781849969123
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Libro Print on Demand
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 London, 2010
ISBN 10: 1849969124ISBN 13: 9781849969123
Da: moluna, Greven, Germania
Libro Print on Demand
Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. There is currently no other book that provides a contemporary survey of probabilistic models in both bio-medicine and bio-informaticsAn internet site will accompany the bookProbabilistic Modelling in Bioinformatics and Medical Info.
Editore: Springer London, 2005
ISBN 10: 1852337788ISBN 13: 9781852337780
Da: moluna, Greven, Germania
Libro Print on Demand
Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. There is currently no other book that provides a contemporary survey of probabilistic models in both bio-medicine and bio-informaticsAn internet site will accompany the bookProbabilistic Modelling in Bioinformatics and Medical Info.
Editore: Springer London Ltd, 1999
ISBN 10: 1852330953ISBN 13: 9781852330958
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
Libro Print on Demand
Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Editore: Springer London, 2005
ISBN 10: 1852337788ISBN 13: 9781852337780
Da: AHA-BUCH GmbH, Einbeck, Germania
Libro
Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Editore: Springer London, 2010
ISBN 10: 1849969124ISBN 13: 9781849969123
Da: AHA-BUCH GmbH, Einbeck, Germania
Libro
Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Editore: Springer, 2005
ISBN 10: 1852337788ISBN 13: 9781852337780
Da: GreatBookPrices, Columbia, MD, U.S.A.
Libro
Condizione: As New. Unread book in perfect condition.