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BMCBI
2006
146views more  BMCBI 2006»
15 years 7 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...
BMCBI
2006
115views more  BMCBI 2006»
15 years 7 months ago
Detecting recombination in evolving nucleotide sequences
Background: Genetic recombination can produce heterogeneous phylogenetic histories within a set of homologous genes. These recombination events can be obscured by subsequent resid...
Cheong Xin Chan, Robert G. Beiko, Mark A. Ragan
CCR
2006
122views more  CCR 2006»
15 years 7 months ago
Low complexity, stable scheduling algorithms for networks of input queued switches with no or very low speed-up
The delay and throughput characteristics of a packet switch depend mainly on the queueing scheme and the scheduling algorithm deployed at the switch. Early research on scheduling ...
Claus Bauer
COMCOM
2006
81views more  COMCOM 2006»
15 years 7 months ago
Multiple link failures survivability of optical networks with traffic grooming capability
This paper investigates the problem of survivable traffic grooming (STG) in shared mesh optical networks and proposes different frameworks for improving the survivability of low s...
Chadi Assi, Wei Huo, Abdallah Shami
CSDA
2006
169views more  CSDA 2006»
15 years 7 months ago
Generalized structured additive regression based on Bayesian P-splines
Generalized additive models (GAM) for modelling nonlinear effects of continuous covariates are now well established tools for the applied statistician. In this paper we develop Ba...
Andreas Brezger, Stefan Lang
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