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.
Book Details
Format
Hardcover
Pages
200 pages
Language
English
Published
Feb 14, 2019
Publisher
Morgan & Claypool Publishers
Editions
3 editions
ISBN-10
1681734923
ISBN-13
9781681734927