277 search results - page 10 / 56 » Active Learning for Structure in Bayesian Networks |
HAIS
2010
Springer
2010
Springer
A Dynamic Bayesian Network Based Structural Learning towards Automated Handwritten Digit Recognition
14 years 12 months ago
116
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JMLR
2010
14 years 6 months ago
2010
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
ECML
2007
Springer
15 years 5 months ago
2007
Springer
We discuss how to learn non-recursive directed probabilistic logical models from relational data. This problem has been tackled before by upgrading the structure-search algorithm i...
UAI
2003
15 years 1 months ago
2003
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
124
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ICMCS
2008
IEEE
15 years 6 months ago
2008
IEEE
Several stochastic models provide an effective framework to identify the temporal structure of audiovisual data. Most of them need as input a first video structure, i.e. connecti...