Active Bibliography

5 A Scoring Function for Learning Bayesian Networks based on Mutual Information and Conditional Independence Tests – Luis M. de Campos - 2006
3 Fast Factored Density Estimation and Compression with Bayesian Networks – Scott Davies, John Lafferty - 2002
393 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
12 Searching for Bayesian Network Structures in the Space of Restricted Acyclic Aprtially Directed Graphs – Silva Acid, Luis M. de Campos - 2003
526 Using Bayesian networks to analyze expression data – Nir Friedman, Michal Linial, Iftach Nachman - 2000
451 Bayesian Network Classifiers – Nir Friedman, Dan Geiger, Moises Goldszmidt - 1997
39 The max-min hill-climbing bayesian network structure learning algorithm – Ioannis Tsamardinos, Laura E. Brown, Constantin F. Aliferis - 2006
41 Data Analysis with Bayesian Networks: A Bootstrap Approach – Nir Friedman, Moises Goldszmidt, Abraham Wyner - 1999
12 Collective Mining of Bayesian Networks from Distributed Heterogeneous Data – R. Chen, K. Sivakumar, H. Kargupta - 2002
14 The Posterior Probability of Bayes Nets with Strong Dependences – Gernot D. Kleiter - 1999
8 Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains – Helge Langseth, Thomas D. Nielsen, Richard Dybowski - 2003
Bioinformatics – Vol No Pages - 2003
International Journal of Approximate Reasoning – Luis M. De Campos, Javier G. Castellano - 2006
7 Mix-nets: Factored Mixtures of Gaussians in Bayesian Networks with Mixed Continuous And Discrete Variables – Scott Davies, Andrew Moore - 2000
710 A tutorial on learning with Bayesian networks – David Heckerman - 1995
208 Learning Bayesian Networks With Local Structure – Nir Friedman, Moises Goldszmidt - 1996
3 Combining Multiple Perspectives – Bikramjit Banerjee, Sandip Debnath, Sandip Sen - 2000
5 Efficient Learning using Constrained Sufficient Statistics – Nir Friedman, Lise Getoor - 1999
3 A Bayesian Local Causal Discovery Framework – Subramani Mani - 2005