On Probabilistic Conditional Independence Structures
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...
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: | |
Online Access: | Full Text via HEAL-Link |
Similar Items
-
On Probabilistic Conditional Independence Structures
by: StudenΓ½, Milan
Published: (2005) -
Probabilistic Networks and Expert Systems
by: Cowell, Robert G., et al.
Published: (1999) -
Random Sets and Random Fuzzy Sets as Ill-Perceived Random Variables An Introduction for Ph.D. Students and Practitioners /
by: Couso, Inés, et al.
Published: (2014) -
Towards Intelligent Modeling: Statistical Approximation Theory
by: Anastassiou, George A., et al.
Published: (2011) -
Nature Inspired Cooperative Strategies for Optimization (NICSO 2011)
Published: (2011)