Advances in Probabilistic Graphical Models

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Lucas, Peter (Επιμελητής έκδοσης), Gámez, José A. (Επιμελητής έκδοσης), Salmerón, Antonio (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
• Σειρά: Studies in Fuzziness and Soft Computing, 214
• Θέματα: 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...