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 | ||
|
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 | ||
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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 | ||
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