375 search results - page 5 / 75 » Bayesian Inference for Sparse Generalized Linear Models |
107
Voted
NN
2010
Springer
14 years 4 months ago
2010
Springer
Kernelized LASSO (Least Absolute Selection and Shrinkage Operator) has been investigated in two separate recent papers (Gao et al., 2008) and (Wang et al., 2007). This paper is co...
100
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JMLR
2010
14 years 4 months ago
2010
We describe a novel inference algorithm for sparse Bayesian PCA with a zero-norm prior on the model parameters. Bayesian inference is very challenging in probabilistic models of t...
137
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Book
This book is aimed at senior undergraduates and graduate students in Engineering, Science, Mathematics, and Computing. It expects familiarity with calculus, probability theory, and...
73
Voted
BIBE
2008
IEEE
15 years 4 months ago
2008
IEEE
— The aim of this work is to propose a new approach for the determination of the design matrix in fMRI experiments. The design matrix embodies all available knowledge about exper...
89
Voted
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
In traditional framework of Compressive Sensing (CS), only sparse prior on the property of signals in time or frequency domain is adopted to guarantee the exact inverse recovery. ...