|
393
|
Dynamic Bayesian Networks: Representation, Inference and Learning
– Kevin Patrick Murphy
- 2002
|
|
710
|
A tutorial on learning with Bayesian networks
– David Heckerman
- 1995
|
|
155
|
Efficient approximations for the marginal likelihood of Bayesian networks with hidden variables
– David Maxwell Chickering, David Heckerman
- 1997
|
|
52
|
A Bayesian approach to learning causal networks
– David Heckerman
- 1995
|
|
67
|
Learning Bayesian Networks from Data: An Information-Theory Based Approach
– Jie Cheng, Russell Greiner, Jonathan Kelly, David Bell, Weiru Liu
|
|
20
|
Likelihoods and Parameter Priors for Bayesian Networks
– David Heckerman, Dan Geiger
- 1995
|
|
23
|
Parameter priors for directed acyclic graphical models and the characterization of several probability distributions
– Dan Geiger, David Heckerman
- 1999
|
|
|
A guide to the literature on learning probabilistic . . .
– Wray Buntine
|
|
156
|
A Guide to the Literature on Learning Probabilistic Networks From Data
– Wray Buntine
- 1996
|
|
27
|
Learning Probabilistic Networks
– Paul J Krause
- 1998
|
|
6
|
Exploiting parameter domain knowledge for learning in Bayesian networks
– Radu Stefan Niculescu
- 2005
|
|
3
|
A Bayesian network classification methodology for gene expression data
– Paul Helman, Robert Veroff, Susan R. Atlas, Cheryl Willman
- 2004
|
|
6
|
Computationally efficient methods for selecting among mixtures of graphical models
– B. Thiesson, C. Meek, D. M. Chickering, D. Heckerman
- 1999
|
|
24
|
Learning mixtures of DAG models
– Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman
- 1997
|
|
64
|
A Bayesian Approach to Causal Discovery
– David Heckerman, Christopher Meek, Gregory Cooper
- 1997
|
|
17
|
Learning Causal Networks from Data: A survey and a new algorithm for recovering possibilistic causal networks
– Ramon Sangüesa, Ulises Cortés
- 1997
|
|
31
|
Learning Bayesian Networks from Data: An Efficient Approach Based on Information Theory
– Jie Cheng, David Bell, Weiru Liu
- 1997
|
|
15
|
Bayesian Network Analysis of Signaling Networks: A Primer
– Dana Pe'er
- 2005
|
|
|
Just Enough Die-Level Test: Optimizing IC Test via Machine Learning and Decision Theory
– Tony Fountain
- 1998
|
