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ICASSP
2011
IEEE
14 years 9 months ago
Variational methods for spectral unmixing of hyperspectral images
This paper studies a variational Bayesian unmixing algorithm for hyperspectral images based on the standard linear mixing model. Each pixel of the image is modeled as a linear com...
Olivier Eches, Nicolas Dobigeon, Jean-Yves Tourner...
QUESTA
2007
117views more  QUESTA 2007»
15 years 5 months ago
Estimating tail probabilities of heavy tailed distributions with asymptotically zero relative error
Efficient estimation of tail probabilities involving heavy tailed random variables is amongst the most challenging problems in Monte-Carlo simulation. In the last few years, appli...
Sandeep Juneja
SCFBM
2008
92views more  SCFBM 2008»
15 years 5 months ago
CRANKITE: A fast polypeptide backbone conformation sampler
Background: CRANKITE is a suite of programs for simulating backbone conformations of polypeptides and proteins. The core of the suite is an efficient Metropolis Monte Carlo sample...
Alexei A. Podtelezhnikov, David L. Wild
ICCD
2007
IEEE
120views Hardware» more  ICCD 2007»
16 years 3 months ago
Statistical timing analysis using Kernel smoothing
We have developed a new statistical timing analysis approach that does not impose any assumptions on the nature of manufacturing variability and takes into account an arbitrary mo...
Jennifer L. Wong, Azadeh Davoodi, Vishal Khandelwa...
WSC
1998
15 years 7 months ago
Adaptive Stochastic Manpower Scheduling
Bayesian forecasting models provide distributional estimates for random parameters, and relative to classical schemes, have the advantage that they can rapidly capture changes in ...
Elmira Popova, David P. Morton