52 search results - page 2 / 11 » Bayesian Compressive Sensing Using Laplace Priors |
CSDA
2010
13 years 4 months ago
2010
In this paper, we consider a default strategy for fully Bayesian model determination for GLMMs. We address the two key issues of default prior specification and computation. In pa...
NIPS
2007
13 years 6 months ago
2007
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
BMCBI
2010
13 years 4 months ago
2010
Background: To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight...
BMCBI
2010
13 years 4 months ago
2010
Background: One of the challenges of bioinformatics remains the recognition of short signal sequences in genomic DNA such as donor or acceptor splice sites, splicing enhancers or ...
ICIP
2009
IEEE
14 years 5 months ago
2009
IEEE
Parallel magnetic resonance imaging (pMRI) using multiple receiver coils has emerged as a powerful 3D imaging technique for reducing scanning time or increasing image resolution. ...