|
421
|
Learning probabilistic relational models
– Nir Friedman, Lise Getoor, Daphne Koller, Avi Pfeffer
- 1999
|
|
255
|
Probabilistic Horn abduction and Bayesian networks
– David Poole
- 1993
|
|
130
|
Identity Uncertainty and Citation Matching
– Hanna Pasula, Bhaskara Marthi, Brian Milch, Stuart Russell, Ilya Shpitser
- 2003
|
|
91
|
A language and program for complex Bayesian modelling
– W R Gilks, A Thomas, D J Spiegelhalter
- 1993
|
|
99
|
Blog: Probabilistic models with unknown objects
– Brian Milch, Bhaskara Marthi, Stuart Russell, David Sontag, Daniel L. Ong, Andrey Kolobov
- 2005
|
|
363
|
Markov Logic Networks
– Matthew Richardson, Pedro Domingos
- 2006
|
|
22
|
Adaptive Bayesian logic programs
– Kristian Kersting, Luc De Raedt
- 2001
|
|
45
|
IBAL: A Probabilistic Rational Programming Language
– Avi Pfeffer
- 2001
|
|
168
|
Probabilistic Frame-Based Systems
– Daphne Koller, Avi Pfeffer
- 1998
|
|
5667
|
Probabilistic reasoning in intelligent systems
– Judea Pearl
- 1988
|
|
17
|
Learning Probabilistic Relational Models with Structural Uncertainty
– Lise Getoor, Daphne Koller, Benjamin Taskar, Nir Friedman
- 2000
|
|
239
|
An Analysis of First-Order Logics of Probability
– Joseph Y. Halpern
- 1990
|
|
393
|
Dynamic Bayesian Networks: Representation, Inference and Learning
– Kevin Patrick Murphy
- 2002
|
|
962
|
Learning Stochastic Logic Programs
– Stephen Muggleton
- 2000
|
|
214
|
Operations for Learning with Graphical Models
– Wray L. Buntine
- 1994
|
|
264
|
A New Model of Plan Recognition
– Robert P. Goldman, Christopher W. Geib, Christopher A. Miller
- 1999
|
|
276
|
Discriminative probabilistic models for relational data
– Ben Taskar
- 2002
|
|
25
|
Blog: Relational modeling with unknown objects
– Brian Milch, Bhaskara Marthi, Stuart Russell
- 2004
|
|
9
|
Reasoning About Infinite Random Structures with Relational Bayesian Networks
– Manfred Jaeger
- 1998
|
