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142
Voted
BMCBI
2008
15 years 2 months ago
2008
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
132
Voted
JMLR
2010
14 years 9 months ago
2010
A continuous time Bayesian network (CTBN) uses a structured representation to describe a dynamic system with a finite number of states which evolves in continuous time. Exact infe...
141
Voted
COGSCI
2008
15 years 1 months ago
2008
This article demonstrates the potential of using hierarchical Bayesian methods to relate models and data in the cognitive sciences. This is done using a worked example that consid...
129
Voted
ECAI
2006
Springer
15 years 6 months ago
2006
Springer
Particle filtering (PF) for dynamic Bayesian networks (DBNs) with discrete-state spaces includes a resampling step which concentrates samples according to their relative weight in ...
112
Voted
ICPR
2006
IEEE
16 years 3 months ago
2006
IEEE
This paper investigates the problem of incorporating auxiliary information (e.g. pitch) for speech recognition using dynamic Bayesian networks (DBNs). Previous works usually model...