On Probabilistic Conditional Independence Structures

• Main Author: Studený, Milan (Author)
• Corporate Author: SpringerLink (Online service)
• Other Authors: Jordan, Michael (Editor), Kleinberg, Jon (Editor), Schölkopf, Bernhard (Editor), Kelly, Frank P. (Editor), Witten, Ian (Editor)
• Format: Electronic eBook
• Language: English
• Published: London : Springer London, 2005.
• Series: Information Science and Statistics,
• Subjects: Computer science.; Artificial intelligence.; Statistics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.

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...

Table of Contents:

• Basic Concepts
• Graphical Methods
• Structural Imsets: Fundamentals
• Description of Probabilistic Models
• Equivalence and Implication
• The Problem of Representative Choice
• Learning
• Open Problems.