116 search results - page 7 / 24 » A New Characterization of Probabilities in Bayesian Networks |
UAI
2000
13 years 8 months ago
2000
In many domains, we are interested in analyzing the structure of the underlying distribution, e.g., whether one variable is a direct parent of the other. Bayesian model selection a...
UAI
2003
13 years 8 months ago
2003
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
PKDD
2009
Springer
13 years 12 months ago
2009
Springer
Monitoring the variables of real world dynamic systems is a difficult task due to their inherent complexity and uncertainty. Particle Filters (PF) perform that task, yielding prob...
ICMCS
2008
IEEE
14 years 1 months ago
2008
IEEE
Recent studies in signal detection theory suggest that the human responses to the stimuli on a visual display are nondeterministic. People may attend to different locations on the...
CDC
2008
IEEE
14 years 1 months ago
2008
IEEE
Abstract— The paper deals with decentralized Bayesian detection with M hypotheses, and N sensors making conditionally correlated measurements regarding these hypotheses. Each sen...