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TIP
2008
133views more  TIP 2008»
15 years 7 months ago
A Recursive Model-Reduction Method for Approximate Inference in Gaussian Markov Random Fields
This paper presents recursive cavity modeling--a principled, tractable approach to approximate, near-optimal inference for large Gauss-Markov random fields. The main idea is to su...
Jason K. Johnson, Alan S. Willsky
BMCBI
2005
190views more  BMCBI 2005»
15 years 7 months ago
An Entropy-based gene selection method for cancer classification using microarray data
Background: Accurate diagnosis of cancer subtypes remains a challenging problem. Building classifiers based on gene expression data is a promising approach; yet the selection of n...
Xiaoxing Liu, Arun Krishnan, Adrian Mondry
JCP
2007
108views more  JCP 2007»
15 years 7 months ago
A Genetic Algorithm Method to Assimilate Sensor Data for a Toxic Contaminant Release
— Following a toxic contaminant release, either accidental or intentional, predicting the transport and dispersion of the contaminant becomes a critical problem for Homeland Defe...
Sue Ellen Haupt, George S. Young, Christopher T. A...
TOMACS
2011
139views more  TOMACS 2011»
15 years 2 months ago
The double CFTP method
We consider the problem of the exact simulation of random variables Z that satisfy the distributional identity Z L = V Y + (1 − V )Z, where V ∈ [0, 1] and Y are independent, an...
Luc Devroye, Lancelot F. James
JCNS
2010
100views more  JCNS 2010»
15 years 1 months ago
Methods for predicting cortical UP and DOWN states from the phase of deep layer local field potentials
During anesthesia, slow-wave sleep and quiet wakefulness, neuronal membrane potentials collectively switch between de- and hyperpolarized levels, the cortical UP and DOWN states. P...
Aman B. Saleem, Paul Chadderton, John Apergis-Scho...