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GECCO
2010
Springer
155views Optimization» more  GECCO 2010»
15 years 3 months ago
Negative selection algorithms without generating detectors
Negative selection algorithms are immune-inspired classifiers that are trained on negative examples only. Classification is performed by generating detectors that match none of ...
Maciej Liskiewicz, Johannes Textor
CORR
2010
Springer
170views Education» more  CORR 2010»
14 years 11 months ago
Sidelobe Control in Collaborative Beamforming via Node Selection
Collaborative beamforming (CB) is a power efficient method for data communications in wireless sensor networks (WSNs) which aims at increasing the transmission range in the network...
Mohammed F. A. Ahmed, Sergiy A. Vorobyov
JPDC
2007
112views more  JPDC 2007»
14 years 11 months ago
CHEMAS: Identify suspect nodes in selective forwarding attacks
Selective forwarding attacks may corrupt some mission-critical applications such as military surveillance and forest fire monitoring in wireless sensor networks. In such attacks,...
Bin Xiao, Bo Yu, Chuanshan Gao
CIDM
2009
IEEE
15 years 5 months ago
Ensemble member selection using multi-objective optimization
— Both theory and a wealth of empirical studies have established that ensembles are more accurate than single predictive models. Unfortunately, the problem of how to maximize ens...
Tuve Löfström, Ulf Johansson, Henrik Bos...
ICSNW
2004
Springer
188views Database» more  ICSNW 2004»
15 years 4 months ago
Peer Selection in Peer-to-Peer Networks with Semantic Topologies
Peer-to-Peer systems have proven to be an effective way of sharing data. Modern protocols are able to efficiently route a message to a given peer. However, determining the destin...
Peter Haase, Ronny Siebes, Frank van Harmelen