994 search results - page 53 / 199 » Modeling and Inference with Relational Dynamic Bayesian Netw... |
120
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ICCV
2009
IEEE
14 years 11 months ago
2009
IEEE
Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this wo...
126
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BMCBI
2008
15 years 1 months ago
2008
Background: Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful informatio...
114
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ISBI
2004
IEEE
16 years 2 months ago
2004
IEEE
In functional Magnetic Resonance Imaging (fMRI), the Hemodynamic Response Function (HRF) represents the impulse response of the neurovascular system. Its identification is essenti...
AMAI
2004
Springer
15 years 7 months ago
2004
Springer
Bayesian Model Averaging (BMA) is well known for improving predictive accuracy by averaging inferences over all models in the model space. However, Markov chain Monte Carlo (MCMC)...
117
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BMCBI
2007
15 years 1 months ago
2007
Background: Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data. However, its major drawback is that...