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» Approximate substring selectivity estimation
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117
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SIMPRA
2008
99views more  SIMPRA 2008»
15 years 2 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
122
Voted
NIPS
2007
15 years 3 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»
15 years 2 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»
14 years 11 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
190
Voted
SIGMOD
2006
ACM
116views Database» more  SIGMOD 2006»
16 years 2 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