Active Bibliography

3 Fast Factored Density Estimation and Compression with Bayesian Networks – Scott Davies, John Lafferty - 2002
17 A Scoring Function for Learning Bayesian Networks based on Mutual Information and Conditional Independence Tests – Luis M. de Campos - 2006
3 A Bayesian Local Causal Discovery Framework – Subramani Mani - 2005
586 Bayesian Network Classifiers – Nir Friedman, Dan Geiger, Moises Goldszmidt - 1997
15 Searching for Bayesian Network Structures in the Space of Restricted Acyclic Aprtially Directed Graphs – Silva Acid, Luis M. de Campos - 2003
7 A Bayesian network classification methodology for gene expression data – Paul Helman, Robert Veroff, Susan R. Atlas, Cheryl Willman - 2004
9 Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains – Helge Langseth, Thomas D. Nielsen, Richard Dybowski - 2003
11 Classification using Hierarchical Naïve Bayes models – Helge Langseth, Thomas D. Nielsen - 2002
1 Tree Augmented Classification of Binary Data Minimizing Stochastic Complexity – Mats Gyllenberg, Timo Koski - 2002
7 Bayesian Networks for Lossless Dataset Compression – Scott Davies, Andrew Moore - 1999
10 Learning Bayesian Network Classifiers: Searching . . . – Silvia Acid, Luis M. De Campos, Javier G. Castellano - 2005
5 Supervised classification with conditional gaussian networks: Increasing the structure complexity from naive bayes – Aritz Pérez, Pedro Larrañaga, Iñaki Inza
3 Finite Mixture Model of Bounded Semi-Naive Bayesian Networks for Classification – Kaizhu Huang, Irwin King, Michael R. Lyu - 2003
563 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
62 Learning Bayesian network classifiers by maximizing conditional likelihood – Daniel Grossman, Pedro Domingos - 2004
180 Learning Bayesian network structure from massive datasets: The “sparse candidate” algorithm – Nir Friedman - 1999
12 Using Feature Hierarchies in Bayesian Network Learning (Extended Abstract) – Marie desJardins, Lise Getoor, Daphne Koller - 2000
7 Convex Structure Learning for Bayesian Networks: Polynomial Feature Selection and Approximate Ordering – Yuhong Guo, Dale Schuurmans - 2006
1 Unsupervised Anomaly Detection in Large Databases Using Bayesian Networks – Antonio Cansado, Alvaro Soto, Affiliation Pontificia, Antonio Cansado, Alvaro Soto - 2007