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CDC
2009
IEEE
150views Control Systems» more  CDC 2009»
15 years 9 months ago
Cooperative adaptive sampling via approximate entropy maximization
— This work deals with a group of mobile sensors sampling a spatiotemporal random field whose mean is unknown and covariance is known up to a scaling parameter. The Bayesian pos...
Rishi Graham, Jorge Cortés
CDC
2009
IEEE
118views Control Systems» more  CDC 2009»
15 years 9 months ago
The Kullback-Leibler rate metric for comparing dynamical systems
This paper is concerned with information theoretic "metrics" for comparing two dynamical systems. Following the recent work of Tryphon Georgiou [1], we outline a predicti...
Sun Yu, Prashant G. Mehta
DAWAK
2006
Springer
15 years 8 months ago
Mining Direct Marketing Data by Ensembles of Weak Learners and Rough Set Methods
This paper describes problem of prediction that is based on direct marketing data coming from Nationwide Products and Services Questionnaire (NPSQ) prepared by Polish division of A...
Jerzy Blaszczynski, Krzysztof Dembczynski, Wojciec...
NN
2007
Springer
162views Neural Networks» more  NN 2007»
15 years 4 months ago
Learning grammatical structure with Echo State Networks
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
Matthew H. Tong, Adam D. Bickett, Eric M. Christia...
ISSRE
2010
IEEE
15 years 3 months ago
The Impact of Coupling on the Fault-Proneness of Aspect-Oriented Programs: An Empirical Study
—Coupling in software applications is often used as an indicator of external quality attributes such as fault-proneness. In fact, the correlation of coupling metrics and faults i...
Rachel Burrows, Fabiano Cutigi Ferrari, Otá...