Reasoning with Probabilistic and Deterministic Graphical Models is popular PDF and ePub book, written by Rina Kraus in 2013-12-27, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Reasoning with Probabilistic and Deterministic Graphical Models can be Read Online from any device for your convenience.
Reasoning with Probabilistic and Deterministic Graphical Models Book PDF Summary
Graphical models (e.g., Bayesian and constraint networks, influence diagrams, and Markov decision processes) have become a central paradigm for knowledge representation and reasoning in both artificial intelligence and computer science in general. These models are used to perform many reasoning tasks, such as scheduling, planning and learning, diagnosis and prediction, design, hardware and software verification, and bioinformatics. These problems can be stated as the formal tasks of constraint satisfaction and satisfiability, combinatorial optimization, and probabilistic inference. It is well known that the tasks are computationally hard, but research during the past three decades has yielded a variety of principles and techniques that significantly advanced the state of the art. In this book we provide comprehensive coverage of the primary exact algorithms for reasoning with such models. The main feature exploited by the algorithms is the model's graph. We present inference-based, message-passing schemes (e.g., variable-elimination) and search-based, conditioning schemes (e.g., cycle-cutset conditioning and AND/OR search). Each class possesses distinguished characteristics and in particular has different time vs. space behavior. We emphasize the dependence of both schemes on few graph parameters such as the treewidth, cycle-cutset, and (the pseudo-tree) height. We believe the principles outlined here would serve well in moving forward to approximation and anytime-based schemes. The target audience of this book is researchers and students in the artificial intelligence and machine learning area, and beyond.
Detail Book of Reasoning with Probabilistic and Deterministic Graphical Models PDF
- Author : Rina Kraus
- Release : 27 December 2013
- Publisher : Springer Nature
- ISBN : 9783031015663
- Genre : Computers
- Total Page : 187 pages
- Language : English
- PDF File Size : 18,6 Mb
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