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ICASSP
2011
IEEE
14 years 7 months ago
A Bernoulli-Gaussian model for gene factor analysis
This paper investigates a Bayesian model and a Markov chain Monte Carlo (MCMC) algorithm for gene factor analysis. Each sample in the dataset is decomposed as a linear combination...
Cecile Bazot, Nicolas Dobigeon, Jean-Yves Tournere...
ICDCS
2007
IEEE
15 years 10 months ago
A Multiphased Approach for Modeling and Analysis of the BitTorrent Protocol
BitTorrent is one of the most popular protocols for content distribution and accounts for more than 15% of the total Internet traffic. In this paper, we present an analytical mod...
Vivek Rai, Swaminathan Sivasubramanian, Sandjai Bh...
INFSOF
2000
91views more  INFSOF 2000»
15 years 3 months ago
An operational approach to the design of workflow systems
We construct models as an aid to our thought process. A particular class of models, operational models, can be used for simulation and prototyping. The Opj modeling language is su...
Rakesh Agarwal, Giorgio Bruno, Marco Torchiano
ECML
2006
Springer
15 years 7 months ago
Bayesian Active Learning for Sensitivity Analysis
Abstract. Designs of micro electro-mechanical devices need to be robust against fluctuations in mass production. Computer experiments with tens of parameters are used to explore th...
Tobias Pfingsten
ASMTA
2009
Springer
114views Mathematics» more  ASMTA 2009»
15 years 8 months ago
Improving the Efficiency of the Proxel Method by Using Individual Time Steps
Discrete stochastic models (DSM) are widely used in various application fields today. Proxel-based simulation can outperform discrete event-based approaches in the analysis of smal...
Claudia Krull, Robert Buchholz, Graham Horton