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NN
2010
Springer
225views Neural Networks» more  NN 2010»
13 years 8 months ago
Learning to imitate stochastic time series in a compositional way by chaos
This study shows that a mixture of RNN experts model can acquire the ability to generate sequences that are combination of multiple primitive patterns by means of self-organizing ...
Jun Namikawa, Jun Tani
ADAEUROPE
2008
Springer
14 years 6 days ago
On the Timed Automata-Based Verification of Ravenscar Systems
The Ravenscar profile for Ada enforces several restrictions on the usage of general-purpose tasking constructs, thereby facilitating most analysis tasks and in particular functiona...
Iulian Ober, Nicolas Halbwachs
CSDA
2004
129views more  CSDA 2004»
13 years 10 months ago
Gaussian process for nonstationary time series prediction
In this paper, the problem of time series prediction is studied. A Bayesian procedure based on Gaussian process models using a nonstationary covariance function is proposed. Exper...
Sofiane Brahim-Belhouari, Amine Bermak
EMS
2009
IEEE
14 years 5 months ago
Accurate Timeliness Simulations for Real-Time Wireless Sensor Networks
—The use of wireless sensor networks is rapidly growing in various types of applications that benefit from spatially distributed data collection. Some of these applications, suc...
Jérôme Rousselot, Jean-Dominique Deco...
CBMS
2006
IEEE
14 years 4 months ago
Real-Time Simulation and Visualization of Subject-Specific 3D Lung Dynamics
In this paper we discuss a framework for modeling the 3D lung dynamics of normal and diseased human subjects and visualizing them using an Augmented Reality (AR) based environment...
Anand P. Santhanam, Cali M. Fidopiastis, Paul Dave...