Description
Rina Dechter offers a comprehensive exploration of graphical models, harmonizing both probabilistic and deterministic approaches. This work delves into the intricate algorithms that underpin these models, allowing for exact reasoning in complex scenarios. By bridging theoretical foundations with practical applications, the author provides a valuable resource for researchers and practitioners alike.
The book captures the nuances of various graphical frameworks such as Bayesian networks and influence diagrams, illuminating their utility in solving real-world problems. Dechter's meticulous analysis empowers readers to understand the interplay between structure and uncertainty, making it an essential guide for those looking to deepen their expertise in computational methods and decision-making processes.
The book captures the nuances of various graphical frameworks such as Bayesian networks and influence diagrams, illuminating their utility in solving real-world problems. Dechter's meticulous analysis empowers readers to understand the interplay between structure and uncertainty, making it an essential guide for those looking to deepen their expertise in computational methods and decision-making processes.
Détails du livre
Format
Relié
Pages
200 pages
Langue
Anglais
Publié
févr. 14, 2019
Éditeur
Morgan & Claypool Publishers
Éditions
3 éditions
ISBN-10
1681734923
ISBN-13
9781681734927