2008 |
10 | EE | Philippe Leray,
Stijn Meganck,
Sam Maes,
Bernard Manderick:
Causal Graphical Models with Latent Variables: Learning and Inference.
Innovations in Bayesian Networks 2008: 219-249 |
2007 |
9 | EE | Stijn Meganck,
Philippe Leray,
Bernard Manderick:
Causal Graphical Models with Latent Variables: Learning and Inference.
ECSQARU 2007: 5-16 |
8 | EE | Sam Maes,
Stijn Meganck,
Bernard Manderick:
Inference in multi-agent causal models.
Int. J. Approx. Reasoning 46(2): 274-299 (2007) |
2006 |
7 | EE | Stijn Meganck,
Philippe Leray,
Bernard Manderick:
Learning Causal Bayesian Networks from Observations and Experiments: A Decision Theoretic Approach.
MDAI 2006: 58-69 |
6 | EE | Stijn Meganck,
Sam Maes,
Philippe Leray,
Bernard Manderick:
Learning Semi-Markovian Causal Models using Experiments.
Probabilistic Graphical Models 2006: 195-206 |
2005 |
5 | | Sam Maes,
Stijn Meganck,
Bernard Manderick:
Identification of Causal Effects in Multi-Agent Causal Models.
Artificial Intelligence and Applications 2005: 178-182 |
4 | | Sam Maes,
Stijn Meganck,
Bernard Manderick:
Causal Inference in Multi-Agent Causal Models.
BNAIC 2005: 367-368 |
3 | | Stijn Meganck,
Sam Maes,
Bernard Manderick,
Philippe Leray:
A Learning Algorithm for Multi-Agent Causal Models.
EUMAS 2005: 190-201 |
2 | | Sam Maes,
Stijn Meganck,
Bernard Manderick:
Identification in Chain Multi-Agent Causal Models.
FLAIRS Conference 2005: 791-792 |
1 | EE | Stijn Meganck,
Sam Maes,
Bernard Manderick,
Philippe Leray:
Distributed learning of Multi-Agent Causal Models.
IAT 2005: 285-288 |