1261 search results - page 74 / 253 » Improved learning of Bayesian networks |
138
Voted
JMLR
2010
14 years 10 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...
154
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JMLR
2010
14 years 10 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...
119
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ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
Given multiple possible models b1, b2, . . . bn for a protein structure, a common sub-task in in-silico Protein Structure Prediction is ranking these models according to their qua...
103
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COLING
2010
14 years 10 months ago
2010
We present an adaptation technique for statistical machine translation, which applies the well-known Bayesian learning paradigm for adapting the model parameters. Since state-of-t...
145
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CVPR
1999
IEEE
16 years 5 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...