Efficient Learning of Selective Bayesian Network Classifiers (1995)


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by Moninder Singh , Moninder Singh , Gregory M. Provan , Gregory M. Provan
Citations:49 - 4 self

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3 Learning Bayesian Networks for Solving Real-World Problems – Moninder Singh - 1998
24 A Comparison of Induction Algorithms for Selective and non-Selective Bayesian Classifiers – Moninder Singh, Gregory M. Provan - 1995
2 Induction of Selective Bayesian Network Classifiers – Moninder Singh, Gregory M. Provan, Pat Langley - 1996
19 Learning Bayesian Networks Using Feature Selection – Gregory M. Provan, Moninder Singh - 1995
42 Feature Subset Selection by Bayesian networks: a comparison with genetic and sequential algorithms – I. Inza, P. Larrañaga, B. Sierra
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
54 Learning Bayesian Network Structures by Searching For the Best Ordering With Genetic Algorithms – Pedro Larrañaga, Cindy M. H. Kuijpers, Roberto H. Murga, Yosu Yurramendi - 1996
172 A Guide to the Literature on Learning Probabilistic Networks From Data – Wray Buntine - 1996
586 Bayesian Network Classifiers – Nir Friedman, Dan Geiger, Moises Goldszmidt - 1997
29 Learning Goal Oriented Bayesian Networks for Telecommunications Risk Management – Kazuo Ezawa, Moninder Singh, Steven W. Norton - 1996
310 Estimating Continuous Distributions in Bayesian Classifiers – George John, Pat Langley - 1995
37 Improved learning of Bayesian networks – Robert Castelo, Craig Boutilier - 2001
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
15 Searching for Bayesian Network Structures in the Space of Restricted Acyclic Aprtially Directed Graphs – Silva Acid, Luis M. de Campos - 2003
35 Learning Bayesian Networks from Data: An Efficient Approach Based on Information Theory – Jie Cheng, David Bell, Weiru Liu - 1997
27 A new approach for learning belief networks using independence criteria – Luis M. De Campos, Juan F. Huete - 2000
17 A Scoring Function for Learning Bayesian Networks based on Mutual Information and Conditional Independence Tests – Luis M. de Campos - 2006
92 Learning Bayesian Networks from Data: An Information-Theory Based Approach – Jie Cheng, Russell Greiner, Jonathan Kelly, David Bell, Weiru Liu