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» Learning Mappings with Neural Network
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ICA
2010
Springer
15 years 3 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
IWCMC
2010
ACM
15 years 7 months ago
On the use of random neural networks for traffic matrix estimation in large-scale IP networks
Despite a large body of literature and methods devoted to the Traffic Matrix (TM) estimation problem, the inference of traffic flows volume from aggregated data still represents a ...
Pedro Casas, Sandrine Vaton
ISNN
2007
Springer
15 years 11 months ago
Hybrid Pipeline Structure for Self-Organizing Learning Array
In recent years, many efforts have been put in applying the concept of reconfigurable computing to neural networks. In our previous pursuits, an innovative self-organizing learning...
Janusz A. Starzyk, Mingwei Ding, Yinyin Liu
ECAI
2008
Springer
15 years 6 months ago
Groovy Neural Networks
Abstract. The drum machine has been an important tool in music production for decades. However, its flawless way of playing drum patterns is often perceived as mechanical and rigid...
Axel Tidemann, Yiannis Demiris
160
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JUCS
2007
93views more  JUCS 2007»
15 years 5 months ago
Mapping Academic Collaboration Networks: Perspectives from the First Year of the Reusable Learning Objects CETL
: The 'Reusable Learning Objects' Centre for Excellence in Teaching and Learning (RLO-CETL) is a five-year project (2005-2010) involving staff from three universities (Lo...
Raquel Morales, Patrick Carmichael