375 search results - page 10 / 75 » Bayesian Inference for Sparse Generalized Linear Models |
ISIPTA
2003
IEEE
15 years 5 months ago
2003
IEEE
Set-valued estimation offers a way to account for imprecise knowledge of the prior distribution of a Bayesian statistical inference problem. The set-valued Kalman filter, which p...
218
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IPMI
2011
Springer
14 years 3 months ago
2011
Springer
Many current medical image analysis problems involve learning thousands or even millions of model parameters from extremely few samples. Employing sparse models provides an effecti...
CORR
2008
Springer
14 years 11 months ago
2008
Springer
This paper presents a hierarchical Bayesian model to reconstruct sparse images when the observations are obtained from linear transformations and corrupted by an additive white Gau...
107
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TSP
2010
14 years 6 months ago
2010
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
ISBI
2008
IEEE
16 years 12 days ago
2008
IEEE
Here we present a scalable method to compute the structure of causal links over large scale dynamical systems that achieves high efficiency in discovering actual functional connec...