Construction of Bayesian Network Structures From Data: A Brief Survey and an Efficient Algorithm (1995)

by Moninder Singh , Marco Valtorta
Citations:77 - 8 self

Active Bibliography

3 Learning Bayesian Networks for Solving Real-World Problems – Moninder Singh - 1998
172 A Guide to the Literature on Learning Probabilistic Networks From Data – Wray Buntine - 1996
93 Learning Bayesian Networks from Data: An Information-Theory Based Approach – Jie Cheng, Russell Greiner, Jonathan Kelly, David Bell, Weiru Liu
35 Learning Bayesian Networks from Data: An Efficient Approach Based on Information Theory – Jie Cheng, David Bell, Weiru Liu - 1997
Possibilistic Conditional Independence: a similarity-based measure and its application to causal network learning – Ramón Sanguesa Sole, Joan Cabós Fabregat, Ulises Cortés García, Independence A - 1994
12 Knowing and reasoning in – Delphine Rossille A, Jean-françois Laurent C, Anita Burgun A - 1992
23 A `Microscopic' Study of Minimum Entropy Search in Learning Decomposable Markov Networks – Y. Xiang, S.K.M. Wong, N. Cercone - 1995
12 The TETRAD Project: Constraint Based Aids to Causal Model Specification – Richard Scheines , Peter Spirtes, Clark Glymour, Christopher Meek, Thomas Richardson
913 Learning Bayesian networks: The combination of knowledge and statistical data – David Heckerman, David M. Chickering - 1995
249 Operations for Learning with Graphical Models – Wray L. Buntine - 1994
564 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
1081 A Bayesian method for the induction of probabilistic networks from data – Gregory F. Cooper, Tom Dietterich - 1992
27 A new approach for learning belief networks using independence criteria – Luis M. De Campos, Juan F. Huete - 2000
71 Learning Bayesian Networks by Genetic Algorithms. A case study in the prediction of survival in malignant skin melanoma – P. Larranaga, B. Sierra, M. J. Gallego, M. J. Michelena, J. M. Picaza - 1997
19 Learning Causal Networks from Data: A survey and a new algorithm for recovering possibilistic causal networks – Ramon Sangüesa, Ulises Cortés - 1997
178 Efficient approximations for the marginal likelihood of Bayesian networks with hidden variables – David Maxwell Chickering, David Heckerman - 1997
731 Using Bayesian networks to analyze expression data – Nir Friedman, Michal Linial, Iftach Nachman - 2000
unknown title – Learning Bayesian