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» A theoretical framework for multiple neural network systems
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IWANN
2007
Springer
14 years 3 months ago
Multiple Instance Learning with Genetic Programming for Web Mining
Abstract. The aim of this paper is to present a new tool of multiple instance learning which is designed using a grammar based genetic programming (GGP) algorithm. We study its app...
Amelia Zafra, Sebastián Ventura, Enrique He...
TCS
2011
13 years 3 months ago
An algorithmic framework for network reconstruction
Models of biological systems and phenomena are of high scientific interest and practical relevance, but not always easy to obtain due to their inherent complexity. To gain the re...
Markus Durzinsky, Annegret Wagler, Robert Weismant...
GLOBECOM
2008
IEEE
14 years 3 months ago
A Low-Signalling Scheme for Distributed Resource Allocation in Multi-Cellular OFDMA Systems
—This paper considers distributed protocol design for joint sub-carrier, transmission scheduling and power management in uplink/downlink multi-cellular OFDMA wireless networks. T...
Pablo Soldati, Mikael Johansson
SSIAI
2000
IEEE
14 years 1 months ago
Two-Dimensional Phase Unwrapping Using Neural Networks
Imaging systems that construct an image from phase information in received signals include synthetic aperture radar (SAR) and optical Doppler tomography (ODT) systems. A fundament...
Wade Schwartzkopf, Thomas E. Milner, Joydeep Ghosh...
ASC
2006
13 years 10 months ago
Supervised neuronal approaches for EEG signal classification: Experimental studies
Using artificial neural networks for Electroencephalogram (EEG) signal interpretation is a very challenging tasks for several reasons. The first class of reasons refers to the nat...
Frédéric Alexandre, Kerkeni Nizar, K...