589 search results - page 69 / 118 » Modeling affordances using Bayesian networks |
131
Voted
FLAIRS
2004
15 years 5 months ago
2004
Bayesian network is a popular modeling tool for uncertain domains that provides a compact representation of a joint probability distribution among a set of variables. Even though ...
162
Voted
LICS
2010
IEEE
15 years 2 months ago
2010
IEEE
ing the differential semantics of rule-based models: exact and automated model reduction (Invited Lecture) Vincent Danos∗§, J´erˆome Feret†, Walter Fontana‡, Russell Harme...
147
Voted
BMCBI
2010
15 years 3 months ago
2010
Background: To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight...
142
Voted
EMNLP
2009
15 years 1 months ago
2009
Virtual evidence (VE), first introduced by (Pearl, 1988), provides a convenient way of incorporating prior knowledge into Bayesian networks. This work generalizes the use of VE to...
110
Voted
IWINAC
2007
Springer
15 years 9 months ago
2007
Springer
One of the key points in Estimation of Distribution Algorithms (EDAs) is the learning of the probabilistic graphical model used to guide the search: the richer the model the more ...