A chain event graph (CEG) is an important generalization of the Bayesian Network (BN). BNs have been extremely useful for modeling discrete processes. However, they are not appropriate for all applications. Over the past six years or so, teams of...Loe edasi...
A chain event graph (CEG) is an important generalization of the Bayesian Network (BN). BNs have been extremely useful for modeling discrete processes. However, they are not appropriate for all applications. Over the past six years or so, teams of...Loe edasi...
This accessible text/reference provides a general introduction to probabilistic graphical models (PGMs) from an engineering perspective. The book covers the fundamentals for each of the main classes of PGMs, including representation, inference and le...Loe edasi...
This volume constitutes the refereed proceedings of the Second International Workshop on Advanced Methodologies for Bayesian Networks, AMBN 2015, held in November 2015. The 18 revised full papers and 6 invited abstracts presented were carefully revie...Loe edasi...
This book provides a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of techniques for building Bayesian networks that model real-world situations, including techniq...Loe edasi...
Sari: Adaptive Computation and Machine Learning series
(Ilmumisaeg: 31-Jul-2009, Hardback, Kirjastus: MIT Press, ISBN-13: 9780262013192)
A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions. Most tasks require a person or an automated system to reason—to reach...Loe edasi...
(Ilmumisaeg: 06-Apr-2009, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9780521884389)
Introduces the formal foundations and practical applications of Bayesian networks. This book provides a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of te...Loe edasi...
(Ilmumisaeg: 02-Oct-2008, Hardback, Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K, ISBN-13: 9783540850656)
Bayesian networks currently provide one of the most rapidly growing areas of research in computer science and statistics. In compiling this volume the editors have brought together contributions from some of the most prestigious researchers in thi...Loe edasi...
(Ilmumisaeg: 16-May-2006, Other digital carrier, Kirjastus: John Wiley & Sons Ltd, ISBN-13: 9780470091753)
The amount of information forensic scientists are able to offer is ever increasing, owing to vast developments in science and technology. Consequently, the complexity of evidence does not allow scientists to cope adequately with the problems it cause...Loe edasi...
(Ilmumisaeg: 17-Feb-2006, Hardback, Kirjastus: John Wiley & Sons Ltd, ISBN-13: 9780470091739)
saadame teile pakkumise kasutatud raamatule, mille hind võib erineda kodulehel olevast hinnast
The assessment of forensic evidence involves a large amount of uncertainty, which necessitates the application of probabilistic reasoning to forensic science, argue the authors (of U. of Lausanne, Switzerland; U. of Edinburgh, UK; and IUAV U., Italy)...Loe edasi...