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» Bayesian Parameter Estimation: A Monte Carlo Approach
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CSDA
2007
92views more  CSDA 2007»
13 years 7 months ago
The Bayes factor for inequality and about equality constrained models
The Bayes factor is a useful tool for evaluating sets of inequality and about equality constrained models. In the approach described, the Bayes factor for a constrained model with...
Irene Klugkist, Herbert Hoijtink
ICCAD
2008
IEEE
153views Hardware» more  ICCAD 2008»
14 years 4 months ago
Breaking the simulation barrier: SRAM evaluation through norm minimization
— With process variation becoming a growing concern in deep submicron technologies, the ability to efficiently obtain an accurate estimate of failure probability of SRAM compone...
Lara Dolecek, Masood Qazi, Devavrat Shah, Anantha ...
BMCBI
2008
127views more  BMCBI 2008»
13 years 7 months ago
Gene and pathway identification with Lp penalized Bayesian logistic regression
Background: Identifying genes and pathways associated with diseases such as cancer has been a subject of considerable research in recent years in the area of bioinformatics and co...
Zhenqiu Liu, Ronald B. Gartenhaus, Ming Tan, Feng ...
PODS
2000
ACM
179views Database» more  PODS 2000»
13 years 11 months ago
Selectivity Estimation for Boolean Queries
In a variety of applications ranging from optimizing queries on alphanumeric attributes to providing approximate counts of documents containing several query terms, there is an in...
Zhiyuan Chen, Flip Korn, Nick Koudas, S. Muthukris...
ICASSP
2009
IEEE
14 years 2 months ago
Fast bayesian compressive sensing using Laplace priors
In this paper we model the components of the compressive sensing (CS) problem using the Bayesian framework by utilizing a hierarchical form of the Laplace prior to model sparsity ...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...