375 search results - page 11 / 75 » Bayesian Inference for Sparse Generalized Linear Models |
105
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ICML
2005
IEEE
16 years 15 days ago
2005
IEEE
Naive Bayes models have been widely used for clustering and classification. However, they are seldom used for general probabilistic learning and inference (i.e., for estimating an...
100
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BMCBI
2007
14 years 11 months ago
2007
Background: Reverse engineering cellular networks is currently one of the most challenging problems in systems biology. Dynamic Bayesian networks (DBNs) seem to be particularly su...
IJCNN
2006
IEEE
15 years 5 months ago
2006
IEEE
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...
100
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JMLR
2010
14 years 6 months ago
2010
Given several related learning tasks, we propose a nonparametric Bayesian model that captures task relatedness by assuming that the task parameters (i.e., predictors) share a late...
110
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CORR
2011
Springer
14 years 6 months ago
2011
Springer
We introduce a graphical framework for Bayesian inference that is sufficiently general to accommodate not just the standard case but also recent proposals for a theory of quantum...