Asymptotic model selection for directed networks with hidden variables (1996)

by Dan Geiger , David Heckerman , Christopher Meek
Citations:47 - 14 self

Active Bibliography

heckermacOJmicrosoft.com – Dan Geiger, David Heckerman, Christopher Meek
172 A Guide to the Literature on Learning Probabilistic Networks From Data – Wray Buntine - 1996
79 A Bayesian Approach to Causal Discovery – David Heckerman, Christopher Meek, Gregory Cooper - 1997
178 Efficient approximations for the marginal likelihood of Bayesian networks with hidden variables – David Maxwell Chickering, David Heckerman - 1997
unknown title – Learning Bayesian
heckerma(~.microsoft.com – Dan Geiger, David Heckerman, Christopher Meek
564 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
849 A tutorial on learning with Bayesian networks – David Heckerman - 1995
913 Learning Bayesian networks: The combination of knowledge and statistical data – David Heckerman, David M. Chickering - 1995
130 Learning Bayesian Networks is NP-Hard – David Chickering, Dan Geiger, David Heckerman - 1994
8 Challenge: Where is the Impact of Bayesian Networks in Learning? – Nir Friedman, Moises Goldszmidt, David Heckerman - 1997
9 Computationally efficient methods for selecting among mixtures of graphical models – B. Thiesson, C. Meek, D. M. Chickering, D. Heckerman - 1999
25 Learning mixtures of DAG models – Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman - 1997
1 A Statistical Perspective on Data Mining – Ranjan Maitra
21 Learning Mixtures of Bayesian Networks – Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman - 1997
19 Learning Causal Networks from Data: A survey and a new algorithm for recovering possibilistic causal networks – Ramon Sangüesa, Ulises Cortés - 1997
587 Bayesian Network Classifiers – Nir Friedman, Dan Geiger, Moises Goldszmidt - 1997
35 Learning Bayesian Networks from Data: An Efficient Approach Based on Information Theory – Jie Cheng, David Bell, Weiru Liu - 1997
93 Learning Bayesian Networks from Data: An Information-Theory Based Approach – Jie Cheng, Russell Greiner, Jonathan Kelly, David Bell, Weiru Liu