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» Modeling synchronized time series
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ICA
2010
Springer
13 years 8 months ago
Time Series Causality Inference Using Echo State Networks
One potential strength of recurrent neural networks (RNNs) is their – theoretical – ability to find a connection between cause and consequence in time series in an constraint-...
Norbert Michael Mayer, Oliver Obst, Chang Yu-Chen
JMLR
2011
93views more  JMLR 2011»
13 years 4 months ago
Time Series Analysis with the Causality Workbench
The Causality Workbench project is an environment to test causal discovery algorithms. Via a web portal (http://clopinet.com/causality), it provides a number of resources, includi...
Isabelle Guyon, Alexander Satnikov, Constantin F. ...
ESWS
2008
Springer
13 years 11 months ago
Creating and Using Geospatial Ontology Time Series in a Semantic Cultural Heritage Portal
Content annotations in semantic cultural heritage portals commonly make spatiotemporal references to historical regions and places using names whose meanings are different in diffe...
Tomi Kauppinen, Jari Väätäinen, Eer...
TC
2008
13 years 9 months ago
Implementing Synchronous Models on Loosely Time Triggered Architectures
Synchronous systems offer clean semantics and an easy verification path at the expense of often inefficient implementations. Capturing design specifications as synchronous models a...
Stavros Tripakis, Claudio Pinello, Albert Benvenis...
CSDA
2010
122views more  CSDA 2010»
13 years 9 months ago
Nonparametric density estimation for positive time series
The Gaussian kernel density estimator is known to have substantial problems for bounded random variables with high density at the boundaries. For i.i.d. data several solutions hav...
Taoufik Bouezmarni, Jeroen V. K. Rombouts