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NIPS
2001
15 years 7 months ago
Bayesian time series classification
This paper proposes an approach to classification of adjacent segments of a time series as being either of classes. We use a hierarchical model that consists of a feature extract...
Peter Sykacek, Stephen J. Roberts
NN
2010
Springer
225views Neural Networks» more  NN 2010»
15 years 4 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
15 years 8 months 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»
15 years 6 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
16 years 1 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...