Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 152,01
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 152,00
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 168,83
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 168,20
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Condizione: New. pp. XXIII, 149 67 illus., 59 illus. in color. 2020th edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Springer International Publishing, 2019
ISBN 10: 3030277488 ISBN 13: 9783030277482
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 160,49
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This research monograph is highly contextual in the present era of spatial/spatio-temporal data explosion. The overall text contains many interesting results that are worth applying in practice, while it is also a source of intriguing and motivating questions for advanced research on spatial data science.The monograph is primarily prepared for graduate students of Computer Science, who wish to employ probabilistic graphical models, especially Bayesian networks (BNs), for applied research on spatial/spatio-temporal data. Students of any other discipline of engineering, science, and technology, will also find this monograph useful. Research students looking for a suitable problem for their MS or PhD thesis will also find this monograph beneficial. The open research problems as discussed with sufficient references in Chapter-8 and Chapter-9 can immensely help graduate researchers to identify topics of their own choice. The various illustrations and proofs presented throughout the monograph may help them to better understand the working principles of the models. The present monograph, containing sufficient description of the parameter learning and inference generation process for each enhanced BN model, can also serve as an algorithmic cookbook for the relevant system developers.
Da: Revaluation Books, Exeter, Regno Unito
EUR 232,86
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Aggiungi al carrelloHardcover. Condizione: Brand New. 172 pages. 9.25x6.10x0.59 inches. In Stock.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 126,26
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer International Publishing Nov 2019, 2019
ISBN 10: 3030277488 ISBN 13: 9783030277482
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 160,49
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This research monograph is highly contextual in the present era of spatial/spatio-temporal data explosion. The overall text contains many interesting results that are worth applying in practice, while it is also a source of intriguing and motivating questions for advanced research on spatial data science.The monograph is primarily prepared for graduate students of Computer Science, who wish to employ probabilistic graphical models, especially Bayesian networks (BNs), for applied research on spatial/spatio-temporal data. Students of any other discipline of engineering, science, and technology, will also find this monograph useful. Research students looking for a suitable problem for their MS or PhD thesis will also find this monograph beneficial. The open research problems as discussed with sufficient references in Chapter-8 and Chapter-9 can immensely help graduate researchers to identify topics of their own choice. The various illustrations and proofs presented throughout the monograph may help them to better understand the working principles of the models. The present monograph, containing sufficient description of the parameter learning and inference generation process for each enhanced BN model, can also serve as an algorithmic cookbook for the relevant system developers. 176 pp. Englisch.
Lingua: Inglese
Editore: Springer International Publishing, 2019
ISBN 10: 3030277488 ISBN 13: 9783030277482
Da: moluna, Greven, Germania
EUR 136,16
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This is the first text that throws light on the recent advancements in developing enhanced Bayesian network (BN) models to address the various challenges in spatial time series predictionThe monograph covers both theoretical and empirical aspects of a .
Da: Majestic Books, Hounslow, Regno Unito
EUR 216,87
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. XXIII, 149 67 illus., 59 illus. in color.
Lingua: Inglese
Editore: Springer, Palgrave Macmillan Nov 2019, 2019
ISBN 10: 3030277488 ISBN 13: 9783030277482
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 160,49
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This research monograph is highly contextual in the present era of spatial/spatio-temporal data explosion. The overall text contains many interesting results that are worth applying in practice, while it is also a source of intriguing and motivating questions for advanced research on spatial data science.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 176 pp. Englisch.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 218,41
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. XXIII, 149 67 illus., 59 illus. in color.