Graphical Models and Exponential Families (1998)

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by Dan Geiger , Christopher Meek
Citations:19 - 1 self

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156 Graphical Models and Exponential Families – Dan Geiger, Christopher Meek
54 Stratified exponential families: Graphical models and model selection – Author(s) Dan Geiger, David Heckerman, Henry King, Christopher Meek, Dan Geiger, David Heckerman, Henry King, Christopher Meek - 2001
564 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
178 Efficient approximations for the marginal likelihood of Bayesian networks with hidden variables – David Maxwell Chickering, David Heckerman - 1997
36 Learning Probabilistic Networks – Paul J Krause - 1998
76 ANCESTRAL GRAPH MARKOV MODELS – Thomas Richardson, Peter Spirtes - 2002
157 Modelling gene expression data using dynamic bayesian networks – Kevin Murphy, Saira Mian - 1999
3 A Bayesian Local Causal Discovery Framework – Subramani Mani - 2005
25 Inference and Learning in Hybrid Bayesian Networks – Kevin P. Murphy - 1998
8 Challenge: Where is the Impact of Bayesian Networks in Learning? – Nir Friedman, Moises Goldszmidt, David Heckerman - 1997
9 Exploiting parameter domain knowledge for learning in Bayesian networks – Radu Stefan Niculescu - 2005
3 Fast Factored Density Estimation and Compression with Bayesian Networks – Scott Davies, John Lafferty - 2002
2 Information Fusion, Causal Probabilistic Network And Probanet II: Inference Algorithms and Probanet System – Heping Pan, Daniel McMichael, Marta Lendjel - 1997
79 A Bayesian Approach to Causal Discovery – David Heckerman, Christopher Meek, Gregory Cooper - 1997
10 A Bayesian Method for Causal Modeling and Discovery Under Selection – Gregory F. Cooper - 2000
4 Sequences of regressions and their independences – Nanny Wermuth, Kayvan Sadeghi - 2012
438 RUSAKOV & GEIGER UAI 2002 Asymptotic Model Selection for Naive Bayesian Networks – Dmitry Rusakov, Dan Geiger
30 Asymptotic Model Selection for Naive Bayesian Networks – Dmitry Rusakov, Dan Geiger - 2002
9 An introduction and survey of estimation of distribution algorithms – Mark Hauschild, Martin Pelikan - 2011