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Probabilistic graphical models : principles and applications / / Luis Enrique Sucar
Probabilistic graphical models : principles and applications / / Luis Enrique Sucar
Autore Sucar Luis Enrique
Edizione [Second edition.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (XXVIII, 355 p. 167 illus., 144 illus. in color.)
Disciplina 003.54
Collana Advances in Computer Vision and Pattern Recognition
Soggetto topico Uncertainty (Information theory)
Graphical modeling (Statistics)
ISBN 3-030-61943-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Probability Theory -- Graph Theory -- Bayesian Classifiers -- Hidden Markov Models -- Markov Random Fields -- Bayesian Networks: Representation and Inference -- Bayesian Networks: Learning -- Dynamic and Temporal Bayesian Networks -- Decision Graphs -- Markov Decision Processes -- Partially Observable Markov Decision Processes -- Relational Probabilistic Graphical Models -- Graphical Causal Models -- Causal Discovery -- Deep Learning and Graphical Models -- A Python Library for Inference and Learning -- Glossary -- Index.
Record Nr. UNINA-9910484264703321
Sucar Luis Enrique  
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Probabilistic graphical models : principles and applications / / Luis Enrique Sucar
Probabilistic graphical models : principles and applications / / Luis Enrique Sucar
Autore Sucar Luis Enrique
Edizione [Second edition.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (XXVIII, 355 p. 167 illus., 144 illus. in color.)
Disciplina 003.54
Collana Advances in Computer Vision and Pattern Recognition
Soggetto topico Uncertainty (Information theory)
Graphical modeling (Statistics)
ISBN 3-030-61943-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Probability Theory -- Graph Theory -- Bayesian Classifiers -- Hidden Markov Models -- Markov Random Fields -- Bayesian Networks: Representation and Inference -- Bayesian Networks: Learning -- Dynamic and Temporal Bayesian Networks -- Decision Graphs -- Markov Decision Processes -- Partially Observable Markov Decision Processes -- Relational Probabilistic Graphical Models -- Graphical Causal Models -- Causal Discovery -- Deep Learning and Graphical Models -- A Python Library for Inference and Learning -- Glossary -- Index.
Record Nr. UNISA-996464440103316
Sucar Luis Enrique  
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Probabilistic Graphical Models : Principles and Applications / / by Luis Enrique Sucar
Probabilistic Graphical Models : Principles and Applications / / by Luis Enrique Sucar
Autore Sucar Luis Enrique
Edizione [1st ed. 2015.]
Pubbl/distr/stampa London : , : Springer London : , : Imprint : Springer, , 2015
Descrizione fisica 1 recurso en línea (xxiv, 253 páginas)
Disciplina 004
Collana Advances in Computer Vision and Pattern Recognition
Soggetto topico 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
ISBN 1-4471-6699-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNINA-9910299226403321
Sucar Luis Enrique  
London : , : Springer London : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui