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ICASSP
2009
IEEE
14 years 2 months ago
Time-space-sequential algorithms for distributed Bayesian state estimation in serial sensor networks
We consider distributed estimation of a time-dependent, random state vector based on a generally nonlinear/non-Gaussian state-space model. The current state is sensed by a serial ...
Ondrej Hlinka, Franz Hlawatsch
SECON
2007
IEEE
14 years 2 months ago
Self-Learning Repeated Game Framework for Distributed Primary-Prioritized Dynamic Spectrum Access
Dynamic spectrum access has become a promising approach to fully utilize the scarce spectrum resources. In a dynamically changing spectrum environment, it is very important to desi...
Beibei Wang, Zhu Ji, K. J. Ray Liu
HAIS
2009
Springer
14 years 13 days ago
An Evolutionary Ensemble-Based Method for Rule Extraction with Distributed Data
This paper presents a methodology for knowledge discovery from inherently distributed data without moving it from its original location, completely or partially, to other locations...
Diego M. Escalante, Miguel Angel Rodriguez, Antoni...
AIMSA
2008
Springer
13 years 9 months ago
A Hybrid Approach to Distributed Constraint Satisfaction
We present a hybrid approach to Distributed Constraint Satisfaction which combines incomplete, fast, penalty-based local search with complete, slower systematic search. Thus, we pr...
David Lee, Inés Arana, Hatem Ahriz, Kit-Yin...
ADBIS
2010
Springer
136views Database» more  ADBIS 2010»
13 years 9 months ago
New Frontiers in Business Intelligence: Distribution and Personalization
Abstract. To meet the new, more sophisticated needs of decision makers, a new generation of BI systems is emerging. In this paper we focus on two enabling technologies for this new...
Stefano Rizzi