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GECCO
2007
Springer
256views Optimization» more  GECCO 2007»
14 years 1 months ago
A particle swarm optimization approach for estimating parameter confidence regions
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
Praveen Koduru, Stephen Welch, Sanjoy Das
BMCBI
2008
77views more  BMCBI 2008»
13 years 7 months ago
Stochastic models for the in silico simulation of synaptic processes
Background: Research in life sciences is benefiting from a large availability of formal description techniques and analysis methodologies. These allow both the phenomena investiga...
Andrea Bracciali, Marcello Brunelli, Enrico Catald...
TASE
2008
IEEE
13 years 7 months ago
Stochastic Modeling of an Automated Guided Vehicle System With One Vehicle and a Closed-Loop Path
Abstract--The use of automated guided vehicles (AGVs) in material-handling processes of manufacturing facilities and warehouses isbecomingincreasinglycommon.AcriticaldrawbackofanAG...
Aykut F. Kahraman, Abhijit Gosavi, Karla J. Oty
SIBGRAPI
2008
IEEE
14 years 1 months ago
Bayesian Estimation of Hyperparameters in MRI through the Maximum Evidence Method
Bayesian inference methods are commonly applied to the classification of brain Magnetic Resonance images (MRI). We use the Maximum Evidence (ME) approach to estimate the most prob...
Damian E. Oliva, Roberto A. Isoardi, Germán...
UAI
2003
13 years 8 months ago
Learning Generative Models of Similarity Matrices
Recently, spectral clustering (a.k.a. normalized graph cut) techniques have become popular for their potential ability at finding irregularlyshaped clusters in data. The input to...
Rómer Rosales, Brendan J. Frey