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On probabilistic conditional independence structures

Author: Milan Studený
Publisher: London : Springer, ©2005.
Series: Information science and statistics.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
Conditional independence is a topic that lies between statistics and artificial intelligence. Probabilistic Conditional Independence Structures provides the mathematical description of probabilistic conditional independence structures; the author uses non-graphical methods of their description, and takes an algebraic approach. The monograph presents the methods of structural imsets and supermodular functions, and  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Studený, Milan.
On probabilistic conditional independence structures.
London : Springer, ©2005
(DLC) 2004059834
(OCoLC)56729673
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Milan Studený
ISBN: 9781846280832 1846280834 1852338911 9781852338916 1280612908 9781280612909
OCLC Number: 78051467
Description: 1 online resource (xiv, 285 pages) : illustrations.
Contents: Basic Concepts --
Graphical Methods --
Structural Imsets: Fundamentals --
Description of Probabilistic Models --
Equivalence and Implication --
The Problem of Representative Choice --
Learning --
Open Problems.
Series Title: Information science and statistics.
Responsibility: Milan Studený.
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Abstract:

Conditional independence is a topic that lies between statistics and artificial intelligence. This title provides the mathematical description of probabilistic conditional independence structures. It  Read more...

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From the reviews: "This monograph aims to present methods of structural imsets and supermodel functions and considers the independence implication and equivalence of structural imsets. Dr. Studeny Read more...

 
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