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BMCBI
2006
146views more  BMCBI 2006»
14 years 10 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
JCB
2006
107views more  JCB 2006»
14 years 9 months ago
Maximum Likelihood Molecular Clock Comb: Analytic Solutions
Maximum likelihood (ML) is increasingly used as an optimality criterion for selecting evolutionary trees, but finding the global optimum is a hard computational task. Because no g...
Benny Chor, Amit Khetan, Sagi Snir
TON
2008
155views more  TON 2008»
14 years 9 months ago
A comparative analysis of server selection in content replication networks
Server selection plays an essential role in content replication networks, such as peer-to-peer (P2P) and content delivery networks (CDNs). In this paper, we perform an analytical i...
Tao Wu, David Starobinski
TWC
2008
120views more  TWC 2008»
14 years 9 months ago
Binary Power Control for Sum Rate Maximization over Multiple Interfering Links
We consider allocating the transmit powers for a wireless multi-link (N-link) system, in order to maximize the total system throughput under interference and noise impairments, and...
Anders Gjendemsjø, David Gesbert, Geir E. &...
ARTMED
2004
118views more  ARTMED 2004»
14 years 9 months ago
Bayesian fluorescence in situ hybridisation signal classification
Previous research has indicated the significance of accurate classification of fluorescence in situ hybridisation (FISH) signals for the detection of genetic abnormalities. Based ...
Boaz Lerner