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» Approximate substring selectivity estimation
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SIMPRA
2008
99views more  SIMPRA 2008»
13 years 7 months ago
Response surface methodology for constrained simulation optimization: An overview
This article summarizes `Generalized Response Surface Methodology'(GRSM), extending Box and Wilson's `Response Surface Methodology'(RSM). GRSM allows multiple rando...
Jack P. C. Kleijnen
NIPS
2007
13 years 8 months ago
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
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 ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
AMC
2004
108views more  AMC 2004»
13 years 7 months ago
A variational approach to magnetic resonance coil sensitivity estimation
Abstract. A variational method for estimating a magnetic resonance coil sensitivity from its corresponding nonuniform illumination of magnetic resonance images is proposed and anal...
Stephen L. Keeling, Roland Bammer
BMCBI
2010
97views more  BMCBI 2010»
13 years 4 months ago
Preprocessing of gene expression data by optimally robust estimators
Background: The preprocessing of gene expression data obtained from several platforms routinely includes the aggregation of multiple raw signal intensities to one expression value...
Matthias Kohl, Hans-Peter Deigner
SIGMOD
2006
ACM
116views Database» more  SIGMOD 2006»
14 years 7 months ago
Fast range-summable random variables for efficient aggregate estimation
Exact computation for aggregate queries usually requires large amounts of memory ? constrained in data-streaming ? or communication ? constrained in distributed computation ? and ...
Florin Rusu, Alin Dobra