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ICA
2010
Springer
15 years 2 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
GFKL
2005
Springer
133views Data Mining» more  GFKL 2005»
15 years 9 months ago
Finding Persisting States for Knowledge Discovery in Time Series
Abstract. Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the ...
Fabian Mörchen, Alfred Ultsch
APN
2004
Springer
15 years 9 months ago
Time Petri Nets with Inhibitor Hyperarcs. Formal Semantics and State Space Computation
Abstract. In this paper, we define Time Petri Nets with Inhibitor Hyperarcs (IHTPN) as an extension of T-time Petri nets where time is associated with transitions. In this model, ...
Olivier H. Roux, Didier Lime
APN
2008
Springer
15 years 5 months ago
Symbolic State Space of Stopwatch Petri Nets with Discrete-Time Semantics (Theory Paper)
In this paper, we address the class of bounded Petri nets with stopwatches (SwPNs), which is an extension of T-time Petri nets (TPNs) where time is associated with transitions. Con...
Morgan Magnin, Didier Lime, Olivier H. Roux
TSMC
2008
100views more  TSMC 2008»
15 years 3 months ago
Synchronization and State Estimation for Discrete-Time Complex Networks With Distributed Delays
Abstract--In this paper, a synchronization problem is investigated for an array of coupled complex discrete-time networks with the simultaneous presence of both the discrete and di...
Yurong Liu, Zidong Wang, Jinling Liang, Xiaohui Li...