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The Resource Probabilistic graphical models : principles and techniques, Daphne Koller and Nir Friedman

Probabilistic graphical models : principles and techniques, Daphne Koller and Nir Friedman

Label
Probabilistic graphical models : principles and techniques
Title
Probabilistic graphical models
Title remainder
principles and techniques
Statement of responsibility
Daphne Koller and Nir Friedman
Creator
Contributor
Subject
Language
eng
Member of
Cataloging source
DLC
Illustrations
illustrations
Index
index present
LC call number
QA279.5
LC item number
.K65 2009
Literary form
non fiction
Nature of contents
bibliography
Series statement
Adaptive computation and machine learning
Probabilistic graphical models : principles and techniques, Daphne Koller and Nir Friedman
Label
Probabilistic graphical models : principles and techniques, Daphne Koller and Nir Friedman
Publication
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Bibliography note
Includes bibliographical references (pages 1171-1207) and indexes
Carrier category
volume
Carrier category code
nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
1. Introduction -- 2. Foundations -- I. Representation -- 3. Bayesian Network Representation -- 4. Undirected Graphical Models -- 5. Local Probabilistic Models -- 6. Template-Based Representations -- 7. Gaussian Network Models -- 8. Exponential Family -- II. Inference -- 9. Exact Inference: Variable Elimination -- 10. Exact Inference: Clique Trees -- 11. Inference as Optimization -- 12. Particle-Based Approximate Inference -- 13. MAP Inference -- 14. Inference in Hybrid Networks -- 15. Inference in Temporal Models -- III. Learning -- 16. Learning Graphical Models: Overview -- 17. Parameter Estimation -- 18. Structure Learning in Bayesian Networks -- 19. Partially Observed Data -- 20. Learning Undirected Models -- IV. Actions and Decisions -- 21. Causality -- 22. Utilities and Decisions -- 23. Structured Decision Problems -- 24. Epilogue -- A. Background Material
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Dimensions
24 cm.
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{'f': 'http://opac.lib.rpi.edu/record=b3825864'}
Extent
xxxv, 1233 pages
Isbn
9780262013192
Isbn Type
(hardcover : alk. paper)
Lccn
2009008615
Media category
unmediated
Media MARC source
rdamedia
Media type code
n
Other physical details
illustrations
System control number
(OCoLC)311310322

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