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Record Nr. |
UNINA9910299226403321 |
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Autore |
Sucar Luis Enrique |
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Titolo |
Probabilistic Graphical Models [[electronic resource] ] : Principles and Applications / / by Luis Enrique Sucar |
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Pubbl/distr/stampa |
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London : , : Springer London : , : Imprint : Springer, , 2015 |
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ISBN |
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Edizione |
[1st ed. 2015.] |
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Descrizione fisica |
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1 recurso en línea (xxiv, 253 páginas) |
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Collana |
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Advances in Computer Vision and Pattern Recognition, , 2191-6586 |
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Disciplina |
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Soggetti |
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Mathematical statistics |
Artificial intelligence |
Pattern recognition |
Probabilities |
Electrical engineering |
Probability and Statistics in Computer Science |
Artificial Intelligence |
Pattern Recognition |
Probability Theory and Stochastic Processes |
Electrical Engineering |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di contenuto |
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Part I: Fundamentals -- Introduction -- Probability Theory -- Graph Theory -- Part II: Probabilistic Models -- Bayesian Classifiers -- Hidden Markov Models -- Markov Random Fields -- Bayesian Networks: Representation and Inference -- Bayesian Networks: Learning -- Dynamic and Temporal Bayesian Networks -- Part III: Decision Models -- Decision Graphs -- Markov Decision Processes -- Part IV: Relational and Causal Models -- Relational Probabilistic Graphical Models -- Graphical Causal Models. |
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Sommario/riassunto |
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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 learning principles, and reviews real-world applications for each type of model. These |
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applications are drawn from a broad range of disciplines, highlighting the many uses of Bayesian classifiers, hidden Markov models, Bayesian networks, dynamic and temporal Bayesian networks, Markov random fields, influence diagrams, and Markov decision processes. Topics and features: Presents a unified framework encompassing all of the main classes of PGMs Explores the fundamental aspects of representation, inference and learning for each technique Describes the practical application of the different techniques Examines the latest developments in the field, covering multidimensional Bayesian classifiers, relational graphical models and causal models Provides exercises, suggestions for further reading, and ideas for research or programming projects at the end of each chapter Suggests possible course outlines for instructors in the preface This classroom-tested work is suitable as a textbook for an advanced undergraduate or a graduate course in probabilistic graphical models for students of computer science, engineering, and physics. Professionals wishing to apply probabilistic graphical models in their own field, or interested in the basis of these techniques, will also find the book to be an invaluable reference. Dr. Luis Enrique Sucar is a Senior Research Scientist at the National Institute for Astrophysics, Optics and Electronics (INAOE), Puebla, Mexico. |
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2. |
Record Nr. |
UNINA9910789671203321 |
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Autore |
Davies Owen <1969-> |
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Titolo |
Popular magic : cunning folk in English history / / Owen Davies |
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Pubbl/distr/stampa |
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London, England ; ; New York, New York : , : Hambledon Continuum, , 2007 |
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©2003 |
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ISBN |
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1-283-20202-6 |
9786613202024 |
0-8264-4279-X |
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Descrizione fisica |
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1 online resource (263 p.) |
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Disciplina |
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Soggetti |
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Magic - England - History |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Originally published: as Cunning-folk. London: Hambledon and London, 2003. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Contents; Introduction; Acknowledgements; 1 Cunning-Folk and the Law; 2 For Good or Evil?; 3 Who and Why; 4 Services; 5 Books; 6 Written Charms; 7 European Comparisons; 8 Cunning-Folk in the Twentieth Century; Notes; Bibliography; Index |
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Sommario/riassunto |
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Cunning-folk were local practitioners of magic, providing small-scale but valued service to the community. They were far more representative of magical practice than the arcane delvings of astrologers and necromancers. Mostly unsensational in their approach, cunning-folk helped people with everyday problems: how to find lost objects; how to escape from bad luck or a suspected spell; and how to attract a lover or keep the love of a husband or wife. While cunning-folk sometimes fell foul of the authorities, both church and state often turned a blind eye to their existence and practices, distingu |
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