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ICA
2010
Springer
15 years 5 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
OL
2011
277views Neural Networks» more  OL 2011»
15 years 1 months ago
An exact algorithm for minimum CDS with shortest path constraint in wireless networks
In this paper, we study a minimum Connected Dominating Set problem (CDS) in wireless networks, which selects a minimum CDS with property that all intermediate nodes inside every pa...
Ling Ding, Xiaofeng Gao, Weili Wu, Wonjun Lee, Xu ...
JCNS
2006
94views more  JCNS 2006»
15 years 6 months ago
On the application of "equation-free modelling" to neural systems
"Equation-free modelling" is a recently-developed technique for bridging the gap between detailed, microscopic descriptions of systems and macroscopic descriptions of the...
Carlo R. Laing
IFGIS
2009
Springer
16 years 1 months ago
Application of Self-Organizing Maps to the Maritime Environment
Self-Organizing Maps (SOMs), or Kohonen networks, are widely used neural network architecture. This paper starts with a brief overview of how SOMs can be used in different types of...
Victor Sousa Lobo
IDEAL
2004
Springer
16 years 5 days ago
DIVACE: Diverse and Accurate Ensemble Learning Algorithm
In order for a neural network ensemble to generalise properly, two factors are considered vital. One is the diversity and the other is the accuracy of the networks that comprise th...
Arjun Chandra, Xin Yao