321 search results - page 33 / 65 » Learning Bayesian Networks with Local Structure |
135
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ICASSP
2010
IEEE
15 years 2 months ago
2010
IEEE
In order to structure a gene network, a score-based approach is often used. A score-based approach, however, is problematic because by assuming a probability distribution, one is ...
141
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JMLR
2010
14 years 8 months ago
2010
Continuous-time Bayesian networks is a natural structured representation language for multicomponent stochastic processes that evolve continuously over time. Despite the compact r...
122
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JITECH
2010
15 years 10 days ago
2010
This paper employs the network perspective to study patterns and structures of intraorganizational learning networks. The theoretical background draws from cognitive theories, the...
129
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CVPR
1999
IEEE
16 years 3 months ago
1999
IEEE
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
ICANN
2005
Springer
15 years 7 months ago
2005
Springer
Image superresolution involves the processing of an image sequence to generate a still image with higher resolution. Classical approaches, such as bayesian MAP methods, require ite...