Probabilistic models for relational data (2004)

by David Heckerman , Christopher Meek , Daphne Koller
Citations:46 - 0 self

Active Bibliography

18 Probabilistic Entity-Relationship Models, PRMs, and Plate – David Heckerman, Chris Meek, Daphne Koller - 2007
564 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
3 Knowledge and Data Fusion in Probabilistic Networks – Kathryn Blackmond Laskey, Suzanne M. Mahoney, Richard Dybowski - 2003
DOI 10.1007/s10994-006-5833-1 Markov logic networks – Matthew Richardson, Pedro Domingos, M. Richardson, P. Domingos - 2006
569 Markov Logic Networks – Matthew Richardson, Pedro Domingos - 2006
Proposed design for gR, a graphical models toolkit for R – Kevin P. Murphy - 2003
36 Learning Probabilistic Networks – Paul J Krause - 1998
8 First-Order Bayesian Logic – Kathryn Blackmond Laskey - 2005
7 Natively probabilistic computing – Vikash Kumar Mansinghka, Joshua B. Tenenbaum - 2009
20 MEBN: A Logic for Open-World Probabilistic Reasoning – Kathryn Blackmond Laskey - 2004
7 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
9 Modeling Discrete Interventional Data using Directed Cyclic Graphical Models – Mark Schmidt, Kevin Murphy
34 Probabilistic Logic Learning – Luc De Raedt, Kristian Kersting - 2004
4 Abstract Labeled graph notations for graphical models Extended Report – Eric Mjolsness - 2004
Labeled graph notations for graphical models – Eric Mjolsness - 2004
Transactions on Pattern Analysis and Machine Intelligence – unknown authors
4 Cumulative distribution networks: Inference, estimation and applications of graphical models for cumulative distribution functions – Jim C. Huang - 2009
Framework for Image Segmentation – Lei Zhang, Qiang Ji