318 search results - page 3 / 64 » A Bayesian Model of Conditioned Perception |
AUSAI
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Programmers employing inference in Bayesian networks typically rely on the inclusion of the model as well as an inference engine into their application. Sophisticated inf...
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
Many computer vision applications have to cope with large dynamic range and changing illumination conditions in the environment. Any attempt to deal with these conditions at the a...
RSKT
2010
Springer
13 years 6 months ago
2010
Springer
A naive Bayesian classifier is a probabilistic classifier based on Bayesian decision theory with naive independence assumptions, which is often used for ranking or constructing a...
UAI
2004
13 years 9 months ago
2004
Ancestral graph models, introduced by Richardson and Spirtes (2002), generalize both Markov random fields and Bayesian networks to a class of graphs with a global Markov property ...
NIPS
2003
13 years 9 months ago
2003
We develop a framework based on Bayesian model averaging to explain how animals cope with uncertainty about contingencies in classical conditioning experiments. Traditional accoun...