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WSC
2004
13 years 10 months ago
New Event-driven Sampling Techniques for Network Reliability Estimation
Exactly computing network reliability measures is an NPhard problem. Therefore, Monte Carlo simulation has been frequently used by network designers to obtain accurate estimates. ...
Abdullah Konak, Alice E. Smith, Sadan Kulturel-Kon...
CSDA
2010
118views more  CSDA 2010»
13 years 8 months ago
Grapham: Graphical models with adaptive random walk Metropolis algorithms
Recently developed adaptive Markov chain Monte Carlo (MCMC) methods have been applied successfully to many problems in Bayesian statistics. Grapham is a new open source implementat...
Matti Vihola
CSDA
2008
91views more  CSDA 2008»
13 years 8 months ago
Model-based clustering for longitudinal data
A model-based clustering method is proposed for clustering individuals on the basis of measurements taken over time. Data variability is taken into account through non-linear hier...
Rolando De la Cruz-Mesía, Fernando A. Quint...
INFORMATICALT
2007
92views more  INFORMATICALT 2007»
13 years 8 months ago
An Optimization of System for Automatic Recognition of Ischemic Stroke Areas in Computed Tomography Images
Abstract. The paper considers application of stochastic optimization to system of automatic recognition of ischemic stroke area on computed tomography (CT) images. The algorithm of...
Darius Grigaitis, Vaida Bartkute, Leonidas Sakalau...
ICASSP
2010
IEEE
13 years 7 months ago
A partially collapsed Gibbs sampler for parameters with local constraints
We consider Bayesian detection/classification of discrete random parameters that are strongly dependent locally due to some deterministic local constraint. Based on the recently ...
Georg Kail, Jean-Yves Tourneret, Franz Hlawatsch, ...