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BMCBI
2011
14 years 4 months ago
Empirical Bayesian models for analysing molecular serotyping microarrays
Background: Microarrays offer great potential as a platform for molecular diagnostics, testing clinical samples for the presence of numerous biomarkers in highly multiplexed assay...
Richard Newton, Jason Hinds, Lorenz Wernisch
JMLR
2012
13 years 5 days ago
Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics
We consider the task of estimating, from observed data, a probabilistic model that is parameterized by a finite number of parameters. In particular, we are considering the situat...
Michael Gutmann, Aapo Hyvärinen
JCNS
2002
99views more  JCNS 2002»
14 years 9 months ago
Coarse-Grained Reduction and Analysis of a Network Model of Cortical Response: I. Drifting Grating Stimuli
We present a reduction of a large-scale network model of visual cortex developed by McLaughlin, Shapley, Shelley, and Wielaard. The reduction is from many integrate-and-fire neuron...
Michael Shelley, David McLaughlin
IEEEPACT
2009
IEEE
15 years 4 months ago
Polyhedral-Model Guided Loop-Nest Auto-Vectorization
Abstract—Optimizing compilers apply numerous interdependent optimizations, leading to the notoriously difficult phase-ordering problem — that of deciding which transformations...
Konrad Trifunovic, Dorit Nuzman, Albert Cohen, Aya...
IPPS
2003
IEEE
15 years 3 months ago
Applying Aspect-Orient Programming Concepts to a Component-Based Programming Model
Abstract— The execution environments For scientific applications have evolved significantly over the years. Vector and parallel architectures have provided significantly faste...
Thomas Eidson, Jack Dongarra, Victor Eijkhout