|
15
|
Probabilistic Entity-Relationship Models, PRMs, and Plate
– David Heckerman, Chris Meek, Daphne Koller
- 2007
|
|
394
|
Dynamic Bayesian Networks: Representation, Inference and Learning
– Kevin Patrick Murphy
- 2002
|
|
2
|
Knowledge and Data Fusion in Probabilistic Networks
– Kathryn Blackmond Laskey, Suzanne M. Mahoney, Richard Dybowski
- 2003
|
|
|
Proposed design for gR, a graphical models toolkit for R
– Kevin P. Murphy
- 2003
|
|
|
DOI 10.1007/s10994-006-5833-1 Markov logic networks
– Matthew Richardson, Pedro Domingos, M. Richardson, P. Domingos
- 2006
|
|
363
|
Markov Logic Networks
– Matthew Richardson, Pedro Domingos
- 2006
|
|
27
|
Learning Probabilistic Networks
– Paul J Krause
- 1998
|
|
15
|
MEBN: A Logic for Open-World Probabilistic Reasoning
– Kathryn Blackmond Laskey
- 2004
|
|
6
|
First-Order Bayesian Logic
– Kathryn Blackmond Laskey
- 2005
|
|
5
|
Bayesian Networks with Applications in Reliability Analysis
– Helge Langseth
- 2002
|
|
|
David Heckerman Microsoft Research Valencia 7 June 1, 2002
– Tutorial On Graphical, David Heckerman
- 1999
|
|
|
Mitsubishi Electric Research Laboratories
– Http Www Merl, Ramesh Raskar, Ramesh Raskar, Remo Ziegler, Remo Ziegler, Thomas Willwacher, Thomas Willwacher
- 2002
|
|
3
|
Modeling Discrete Interventional Data using Directed Cyclic Graphical Models
– Mark Schmidt, Kevin Murphy
|
|
4
|
Abstract Labeled graph notations for graphical models Extended Report
– Eric Mjolsness
- 2004
|
|
31
|
Probabilistic Logic Learning
– Luc De Raedt, Kristian Kersting
- 2004
|
|
3
|
Cumulative distribution networks: Inference, estimation and applications of graphical models for cumulative distribution functions
– Jim C. Huang
- 2009
|
|
33
|
A comparison of algorithms for inference and learning in probabilistic graphical models
– Brendan J. Frey, Nebojsa Jojic
- 2005
|
|
30
|
Learning Module Networks
– Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman
- 2003
|
|
1
|
Quantum Physical Symbol Systems
– Kathryn Blackmond Laskey
- 2003
|