Advances in Probabilistic Graphical Models

• Corporate Author: SpringerLink (Online service)
• Other Authors: Lucas, Peter (Editor), Gámez, José A. (Editor), Salmerón, Antonio (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
• Series: Studies in Fuzziness and Soft Computing, 214
• Subjects: Mathematics.; Artificial intelligence.; Mathematical models.; Probabilities.; Discrete mathematics.; Applied mathematics.; Engineering mathematics.; Probability Theory and Stochastic Processes.; Discrete Mathematics.; Mathematical Modeling and Industrial Mathematics.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).

In recent years considerable progress has been made in the area of probabilistic graphical models, in particular Bayesian networks and influence diagrams. Probabilistic graphical models have become mainstream in the area of uncertainty in artificial intelligence; contributions to the area are coming...