Anbieter: Tim's Used Books Provincetown Mass., Provincetown, MA, USA
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Hardcover. Zustand: Very Good. 1st Edition. No marks in text. Not a library book. Ships in a cardboard enclosure. Tim's Used Books, open shop in Provincetown, Massachusetts, known since 1991 for good books at sane prices. 11 11 23.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: New.
Sprache: Englisch
Verlag: Springer-Verlag New York Inc., US, 2014
ISBN 10: 1493900293 ISBN 13: 9781493900299
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
EUR 70,58
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In den WarenkorbPaperback. Zustand: New. 2nd ed. 2013.
Zustand: good. Used - Good: All pages and cover are intact including the dust cover, if applicable . Spine may show signs of wear. Pages may include limited notes and highlighting. May include From the library of labels. Shrink wrap, dust covers, or boxed set case may be missing. Item may be missing bundled media. Any access codes or passwords originally included with the book may be expired, used or no longer valid. Image is stock photo and cover art edition may be different than pictured.
Sprache: Englisch
Verlag: Springer-Verlag Publishing, 2012
ISBN 10: 1461451035 ISBN 13: 9781461451037
Anbieter: Salish Sea Books, Bellingham, WA, USA
Zustand: Very Good. 2. Very Good++; Hardcover; Close to new condition; Covers are still glossy with "straight" edge-corners; Unblemished textblock edges; The endpapers and all text pages are bright and unmarked; Binding is tight with a straight spine; This book will be stored and delivered in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); Tan and gray covers with title in white lettering; 2nd Edition; 2012, Springer-Verlag Publishing; 382 pages; "Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis (Information Science and Statistics)," by Uffe B. Kjærulff & Anders L. Madsen.
Zustand: New.
Sprache: Englisch
Verlag: Springer-Verlag New York Inc., US, 2012
ISBN 10: 1461451035 ISBN 13: 9781461451037
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
EUR 86,11
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In den WarenkorbHardback. Zustand: New. 2nd ed. 2013.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 72,99
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In den WarenkorbZustand: New. In.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 72,98
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In den WarenkorbZustand: New.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 91,35
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In den WarenkorbZustand: New. In.
Anbieter: Mispah books, Redhill, SURRE, Vereinigtes Königreich
EUR 81,31
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In den WarenkorbHardcover. Zustand: Like New. Like New. book.
Anbieter: Books Puddle, New York, NY, USA
Zustand: New. pp. 340.
Sprache: Englisch
Verlag: Springer-Verlag New York Inc., US, 2014
ISBN 10: 1493900293 ISBN 13: 9781493900299
Anbieter: Rarewaves.com UK, London, Vereinigtes Königreich
EUR 56,85
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In den WarenkorbPaperback. Zustand: New. 2nd ed. 2013. Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis, Second Edition, provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. This new edition contains six new sections, in addition to fully-updated examples, tables, figures, and a revised appendix. Intended primarily for practitioners, this book does not require sophisticated mathematical skills or deep understanding of the underlying theory and methods nor does it discuss alternative technologies for reasoning under uncertainty. The theory and methods presented are illustrated through more than 140 examples, and exercises are included for the reader to check his or her level of understanding. The techniques and methods presented for knowledge elicitation, model construction and verification, modeling techniques and tricks, learning models from data, and analyses of models have all been developed and refined on the basis of numerous courses that the authors have held for practitioners worldwide.
Sprache: Englisch
Verlag: Springer-Verlag New York Inc., US, 2012
ISBN 10: 1461451035 ISBN 13: 9781461451037
Anbieter: Rarewaves.com UK, London, Vereinigtes Königreich
EUR 78,16
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In den WarenkorbHardback. Zustand: New. 2nd ed. 2013. Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis, Second Edition, provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. This new edition contains six new sections, in addition to fully-updated examples, tables, figures, and a revised appendix. Intended primarily for practitioners, this book does not require sophisticated mathematical skills or deep understanding of the underlying theory and methods nor does it discuss alternative technologies for reasoning under uncertainty. The theory and methods presented are illustrated through more than 140 examples, and exercises are included for the reader to check his or her level of understanding. The techniques and methods presented for knowledge elicitation, model construction and verification, modeling techniques and tricks, learning models from data, and analyses of models have all been developed and refined on the basis of numerous courses that the authors have held for practitioners worldwide.
Sprache: Englisch
Verlag: Springer New York, Springer US, 2010
ISBN 10: 1441925465 ISBN 13: 9781441925466
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Probabilistic networks, also known as Bayesian networks and influence diagrams, have become one of the most promising technologies in the area of applied artificial intelligence, offering intuitive, efficient, and reliable methods for diagnosis, prediction, decision making, classification, troubleshooting, and data mining under uncertainty. Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. Intended primarily for practitioners, this book does not require sophisticated mathematical skills or deep understanding of the underlying theory and methods nor does it discuss alternative technologies for reasoning under uncertainty. The theory and methods presented are illustrated through more than 140 examples, and exercises are included for the reader to check his/her level of understanding. The techniques and methods presented for knowledge elicitation, model construction and verification, modeling techniques and tricks, learning models from data, and analyses of models have all been developed and refined on the basis of numerous courses that the authors have held for practitioners worldwide.
Anbieter: Mispah books, Redhill, SURRE, Vereinigtes Königreich
EUR 137,51
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Anbieter: Mispah books, Redhill, SURRE, Vereinigtes Königreich
EUR 160,23
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 181,75
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In den WarenkorbZustand: As New. Unread book in perfect condition.
Anbieter: Mispah books, Redhill, SURRE, Vereinigtes Königreich
EUR 172,19
Anzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Anbieter: GreatBookPrices, Columbia, MD, USA
EUR 204,87
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In den WarenkorbZustand: As New. Unread book in perfect condition.
Anbieter: Books Puddle, New York, NY, USA
Zustand: New. pp. 402.
Anbieter: Books Puddle, New York, NY, USA
Zustand: New.
Sprache: Englisch
Verlag: Springer New York Nov 2010, 2010
ISBN 10: 1441925465 ISBN 13: 9781441925466
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Probabilistic networks, also known as Bayesian networks and influence diagrams, have become one of the most promising technologies in the area of applied artificial intelligence. This book provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. Intended primarily for practitioners, this book does not require sophisticated mathematical skills. The theory and methods presented are illustrated through more than 140 examples, and exercises are included for the reader to check his/her level of understanding. 340 pp. Englisch.
Anbieter: moluna, Greven, Deutschland
EUR 72,62
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Comprehensive introduction to probabilistic networksWritten specifically for practitioners of applied artificial intelligenceComplete guide to understand, construct, and analyze probabilistic networksProbabilistic networks, a.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 121,57
Anzahl: 4 verfügbar
In den WarenkorbZustand: New. Print on Demand pp. 340 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
Sprache: Englisch
Verlag: Springer New York, Chapman And Hall/CRC Dez 2014, 2014
ISBN 10: 1493900293 ISBN 13: 9781493900299
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis, Second Edition, provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. This new edition contains six new sections, in addition to fully-updated examples, tables, figures, and a revised appendix. Intended primarily for practitioners, this book does not require sophisticated mathematical skills or deep understanding of the underlying theory and methods nor does it discuss alternative technologies for reasoning under uncertainty. The theory and methods presented are illustrated through more than 140 examples, and exercises are included for the reader to check his or her level of understanding. The techniques and methods presented for knowledge elicitation, model construction and verification, modeling techniques and tricks, learning models from data, and analyses of models have all been developed and refined on the basis of numerous courses that the authors have held for practitioners worldwide. 400 pp. Englisch.
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New. PRINT ON DEMAND pp. 340.
Anbieter: moluna, Greven, Deutschland
EUR 89,99
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Comprehensive introduction to understand, construct, and analyze probabilistic networksSecond Edition features six new sections covering such topics as structure learning and parameter tuning New appendix offers recommendations and solution.
Sprache: Englisch
Verlag: Springer New York, Chapman And Hall/CRC Nov 2012, 2012
ISBN 10: 1461451035 ISBN 13: 9781461451037
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis, Second Edition, provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. This new edition contains six new sections, in addition to fully-updated examples, tables, figures, and a revised appendix. Intended primarily for practitioners, this book does not require sophisticated mathematical skills or deep understanding of the underlying theory and methods nor does it discuss alternative technologies for reasoning under uncertainty. The theory and methods presented are illustrated through more than 140 examples, and exercises are included for the reader to check his or her level of understanding. The techniques and methods presented for knowledge elicitation, model construction and verification, modeling techniques and tricks, learning models from data, and analyses of models have all been developed and refined on the basis of numerous courses that the authors have held for practitioners worldwide. 400 pp. Englisch.