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» Time series prediction using DirRec strategy
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ICONIP
2007
13 years 10 months ago
Dynamical Nonstationarity Analysis of Resting EEGs in Alzheimer's Disease
The understanding of nonstationarity, from both a dynamical and a statistical point of view, has turned from a constraint on application of a specific type of analysis (e.g. spectr...
Charles-Francois Vincent Latchoumane, Emmanuel C. ...
ESANN
2003
13 years 9 months ago
Autonomous learning algorithm for fully connected recurrent networks
In this paper fully connected RTRL neural networks are studied. In order to learn dynamical behaviours of linear-processes or to predict time series, an autonomous learning algori...
Edouard Leclercq, Fabrice Druaux, Dimitri Lefebvre
USS
2008
13 years 10 months ago
Highly Predictive Blacklisting
The notion of blacklisting communication sources has been a well-established defensive measure since the origins of the Internet community. In particular, the practice of compilin...
Jian Zhang, Phillip A. Porras, Johannes Ullrich
NN
2007
Springer
162views Neural Networks» more  NN 2007»
13 years 8 months ago
Learning grammatical structure with Echo State Networks
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
Matthew H. Tong, Adam D. Bickett, Eric M. Christia...
ICDE
2005
IEEE
120views Database» more  ICDE 2005»
14 years 9 months ago
Asymmetric Batch Incremental View Maintenance
Incremental view maintenance has found a growing number of applications recently, including data warehousing, continuous query processing, publish/subscribe systems, etc. Batch pr...
Hai Yu, Hao He, Jun Yang 0001, Junyi Xie