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CSDA
2010
118views more  CSDA 2010»
15 years 7 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
ENGL
2006
135views more  ENGL 2006»
15 years 7 months ago
An Integral Plus States Adaptive Neural Control of Aerobic Continuous Stirred Tank Reactor
A direct adaptive neural network control system with and without integral action term is designed for the general class of continuous biological fermentation processes. The control...
Ieroham S. Baruch, Petia Georgieva, Josefina Barre...
223
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ENTCS
2006
162views more  ENTCS 2006»
15 years 7 months ago
Adaptive Graph Pattern Matching for Model Transformations using Model-sensitive Search Plans
The current paper makes two contributions for the graph pattern matching problem of model transformation tools. First, model-sensitive search plan generation is proposed for patte...
Gergely Varró, Katalin Friedl, Dánie...
231
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ISM
2008
IEEE
159views Multimedia» more  ISM 2008»
15 years 7 months ago
Adaptive Modeling of a User's Daily Life with a Wearable Sensor Network
In an environment where the contexts of users are complex and the degree of freedom of user activity is very high, such as in daily life, several factors need to be considered for...
Hyoungnyoun Kim, Ig-Jae Kim, Hyoung-Gon Kim, Ji-Hy...
TIP
2008
163views more  TIP 2008»
15 years 7 months ago
Image Modeling and Denoising With Orientation-Adapted Gaussian Scale Mixtures
We develop a statistical model to describe the spatially varying behavior of local neighborhoods of coefficients in a multiscale image representation. Neighborhoods are modeled as ...
David K. Hammond, Eero P. Simoncelli