10 search results - page 2 / 2 » Predicting User-Cell Association in Cellular Networks from T... |
115
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BMCBI
2006
15 years 12 days ago
2006
Background: Recent progresses in high-throughput proteomics have provided us with a first chance to characterize protein interaction networks (PINs), but also raised new challenge...
BIOINFORMATICS
2006
15 years 12 days ago
2006
Motivation Quantitative estimation of the regulatory relationship between transcription factors and genes is a fundamental stepping stone when trying to develop models of cellular...
135
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ISI
2006
Springer
15 years 10 days ago
2006
Springer
In the paper we combine a Bayesian Network model for encoding forensic evidence during a given time interval with a Hidden Markov Model (EBN-HMM) for tracking and predicting the de...
114
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BIOINFORMATICS
2006
15 years 12 days ago
2006
Motivation Quantitative estimation of the regulatory relationship between transcription factors and genes is a fundamental stepping stone when trying to develop models of cellular...
ICCV
2007
IEEE
16 years 2 months ago
2007
IEEE
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...