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» Distributed Learning with Biogeography-Based Optimization
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146
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PVM
2009
Springer
16 years 10 days ago
Optimizing MPI Runtime Parameter Settings by Using Machine Learning
Abstract. Manually tuning MPI runtime parameters is a practice commonly employed to optimise MPI application performance on a specific architecture. However, the best setting for ...
Simone Pellegrini, Jie Wang, Thomas Fahringer, Han...
INFOCOM
2007
IEEE
16 years 3 days ago
Optimal Policies for Distributed Data Aggregation in Wireless Sensor Networks
Abstract— We consider the scenario of distributed data aggregation in wireless sensor networks, where each sensor can obtain and estimate the information of the whole sensing fi...
Zhenzhen Ye, Alhussein A. Abouzeid, Jing Ai
ICASSP
2009
IEEE
16 years 16 days ago
Adaptive distributed transforms for irregularly sampled Wireless Sensor Networks
We develop energy-efficient, adaptive distributed transforms for data gathering in wireless sensor networks. In particular, we consider a class of unidirectional transforms that ...
Godwin Shen, Sunil K. Narang, Antonio Ortega
EC
2010
176views ECommerce» more  EC 2010»
15 years 3 months ago
Learning Factorizations in Estimation of Distribution Algorithms Using Affinity Propagation
Estimation of distribution algorithms (EDAs) that use marginal product model factorizations have been widely applied to a broad range of, mainly binary, optimization problems. In ...
Roberto Santana, Pedro Larrañaga, Jos&eacut...
189
Voted
SECON
2007
IEEE
16 years 2 days 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