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NN
2006
Springer
153views Neural Networks» more  NN 2006»
13 years 9 months ago
An incremental network for on-line unsupervised classification and topology learning
This paper presents an on-line unsupervised learning mechanism for unlabeled data that are polluted by noise. Using a similarity thresholdbased and a local error-based insertion c...
Shen Furao, Osamu Hasegawa
SMC
2010
IEEE
276views Control Systems» more  SMC 2010»
13 years 7 months ago
A Modified Invasive Weed Optimization Algorithm for training of feed- forward Neural Networks
— Invasive Weed Optimization Algorithm IWO) is an ecologically inspired metaheuristic that mimics the process of weeds colonization and distribution and is capable of solving mul...
Ritwik Giri, Aritra Chowdhury, Arnob Ghosh, Swagat...
IPSN
2004
Springer
14 years 2 months ago
Nonparametric belief propagation for self-calibration in sensor networks
Automatic self-calibration of ad-hoc sensor networks is a critical need for their use in military or civilian applications. In general, self-calibration involves the combination o...
Alexander T. Ihler, John W. Fisher III, Randolph L...
CDC
2010
IEEE
173views Control Systems» more  CDC 2010»
13 years 4 months ago
Corrective consensus: Converging to the exact average
Consensus algorithms provide an elegant distributed way for computing the average of a set of measurements across a sensor network. However, the convergence of the node estimates t...
Yin Chen, Roberto Tron, Andreas Terzis, René...
VTC
2006
IEEE
199views Communications» more  VTC 2006»
14 years 3 months ago
Comparison of User Mobility Pattern Prediction Algorithms to increase Handover Trigger Accuracy
— The estimation of correct triggers for handover in cellular networks belongs to the critical tasks for accurate network operation. The importance of seamless handover even rise...
Stefan Michaelis, Christian Wietfeld