Advances in Probabilistic Graphical Models
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...
Corporate Author: | SpringerLink (Online service) |
---|---|
Other Authors: | Lucas, Peter. (Editor, http://id.loc.gov/vocabulary/relators/edt), Gámez, José A. (Editor, http://id.loc.gov/vocabulary/relators/edt), Salmerón Cerdan, Antonio. (Editor, http://id.loc.gov/vocabulary/relators/edt) |
Language: | English |
Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2007.
|
Edition: | 1st ed. 2007. |
Series: | Studies in Fuzziness and Soft Computing,
213 |
Subjects: | |
Online Access: | https://doi.org/10.1007/978-3-540-68996-6 |
Similar Items
-
Input Modeling with Phase-Type Distributions and Markov Models Theory and Applications / by Peter Buchholz, Jan Kriege, Iryna Felko.
by: Buchholz, Peter., et al.
Published: (2014) -
Heavy-Tail Phenomena Probabilistic and Statistical Modeling / by Sidney I. Resnick.
by: Resnick, Sidney I., et al.
Published: (2007) -
An Introduction to Continuous-Time Stochastic Processes Theory, Models, and Applications to Finance, Biology, and Medicine / by Vincenzo Capasso, David Bakstein.
by: Capasso, Vincenzo., et al.
Published: (2015) -
Brownian Motion, Martingales, and Stochastic Calculus by Jean-François Le Gall.
by: Le Gall, Jean-François., et al.
Published: (2016) -
A Forward-Backward SDEs Approach to Pricing in Carbon Markets by Jean-François Chassagneux, Hinesh Chotai, Mirabelle Muûls.
by: Chassagneux, Jean-François., et al.
Published: (2017)