1450 search results - page 86 / 290 » Complexity of Inference in Graphical Models |
DIS
2007
Springer
14 years 3 months ago
2007
Springer
Abstract. The Minimum Description Length (MDL) is an informationtheoretic principle that can be used for model selection and other statistical inference tasks. One way to implement...
IJPRAI
2000
13 years 8 months ago
2000
As Bayesian networks become widely accepted as a normative formalism for diagnosis based on probabilistic knowledge, they are applied to increasingly larger problem domains. These...
IJAR
2008
13 years 9 months ago
2008
Credal networks are models that extend Bayesian nets to deal with imprecision in probability, and can actually be regarded as sets of Bayesian nets. Credal nets appear to be power...
ECCV
2006
Springer
14 years 21 days ago
2006
Springer
Tracking body poses of multiple persons in monocular video is a challenging problem due to the high dimensionality of the state space and issues such as inter-occlusion of the pers...
AGI
2008
13 years 10 months ago
2008
Universal induction solves in principle the problem of choosing a prior to achieve optimal inductive inference. The AIXI theory, which combines control theory and universal induct...