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AINA
2010
IEEE
15 years 11 months ago
Active Data Selection for Sensor Networks with Faults and Changepoints
Abstract—We describe a Bayesian formalism for the intelligent selection of observations from sensor networks that may intermittently undergo faults or changepoints. Such active d...
Michael A. Osborne, Roman Garnett, Stephen J. Robe...
CNSM
2010
15 years 4 months ago
Effective acquaintance management for Collaborative Intrusion Detection Networks
Abstract--An effective Collaborative Intrusion Detection Network (CIDN) allows distributed Intrusion Detection Systems (IDSes) to collaborate and share their knowledge and opinions...
Carol J. Fung, Jie Zhang, Raouf Boutaba
ICANN
2005
Springer
15 years 11 months ago
Some Issues About the Generalization of Neural Networks for Time Series Prediction
Abstract. Some issues about the generalization of ANN training are investigated through experiments with several synthetic time series and real world time series. One commonly acce...
Wen Wang, Pieter H. A. J. M. van Gelder, J. K. Vri...
171
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GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
15 years 11 months ago
A pareto archive evolutionary strategy based radial basis function neural network training algorithm for failure rate prediction
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
Grant Cochenour, Jerad Simon, Sanjoy Das, Anil Pah...
ICNC
2005
Springer
15 years 11 months ago
Texture Segmentation Using Neural Networks and Multi-scale Wavelet Features
This paper presents a novel texture segmentation method using Bayesian estimation and neural networks. Multi-scale wavelet coefficients and the context information extracted from n...
Tae-Hyung Kim, Il Kyu Eom, Yoo Shin Kim