An edition of Reasoning with probabilistic and deterministic graphical models (2013)

Reasoning with probabilistic and deterministic graphical models

exact algorithms

by

Cover of: Reasoning with probabilistic and deterministic graphical models by Rina Dechter, Rina Dechter
Preview
Borrow Listen

My Reading Lists:

Create a new list

Check-In

×Close
Add an optional check-in date. Check-in dates are used to track yearly reading goals.
Today
Notes
Notes

Check nearby libraries

Buy this book

Last edited by ImportBot
February 26, 2022 | History
Edit
An edition of Reasoning with probabilistic and deterministic graphical models (2013)

Reasoning with probabilistic and deterministic graphical models

exact algorithms

by

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.

Publish Date
Publisher
Morgan & Claypool Publishers
Language
English
Pages
177

Check nearby libraries

Buy this book

Previews available in: English

Subjects

Graphical modeling (Statistics), Bayesian statistical decision theory, Reasoning, Algorithms, Machine learning, COMPUTERS, General, Technology, Computers

Showing 1 featured edition. View all 1 editions?

Edition Availability
Cover of: Reasoning with probabilistic and deterministic graphical models
Reasoning with probabilistic and deterministic graphical models: exact algorithms
2013, Morgan & Claypool Publishers
in English
Libraries near you: WorldCat

Add another edition?

Book Details

Table of Contents

What are graphical models
Inference : bucket elimination for deterministic networks
Inference : bucket elimination for probabilistic networks
Tree-clustering schemes
AND/OR search spaces and algorithms for graphical models
Combining search and inference : trading space for time.

Edition Notes

Includes bibliographical references (pages 167-176).

Published in
San Rafael, California]
Series
Synthesis lectures on artificial intelligence and machine learning -- #23, Synthesis lectures on artificial intelligence and machine learning -- #23.

Classifications

Dewey Decimal Class
006.3/1, 006.31
Library of Congress
QA279.5 .D43 2013, QA267

The Physical Object

Pagination
1 online resource (xiv, 177 pages)
Number of pages
177

ID Numbers

Open Library
OL32966768M
Internet Archive
reasoningwithpro0000dech
ISBN 10
1627051988, 162705197X
ISBN 13
9781627051989, 9781627051972
OCLC/WorldCat
867318552

Source records

Internet Archive item record
Better World Books record
Better World Books record

Community Reviews (0)

Feedback?
No community reviews have been submitted for this work.

Lists

This work does not appear on any lists.

History

Download catalog record: RDF / JSON
February 26, 2022 Edited by ImportBot import existing book
August 11, 2021 Created by ImportBot import new book