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FLAIRS
2008
13 years 11 months ago
Evolutionary Learning of Dynamic Naive Bayesian Classifiers
Naive Bayesian classifiers work well in data sets with independent attributes. However, they perform poorly when the attributes are dependent or when there are one or more irrelev...
Miguel A. Palacios-Alonso, Carlos A. Brizuela, Lui...
BMCBI
2005
81views more  BMCBI 2005»
13 years 9 months ago
Evolutionary sequence analysis of complete eukaryote genomes
Background: Gene duplication and gene loss during the evolution of eukaryotes have hindered attempts to estimate phylogenies and divergence times of species. Although current meth...
Jaime E. Blair, Prachi Shah, S. Blair Hedges
EUROCAST
2007
Springer
132views Hardware» more  EUROCAST 2007»
14 years 27 days ago
Using Omnidirectional BTS and Different Evolutionary Approaches to Solve the RND Problem
RND (Radio Network Design) is an important problem in mobile telecommunications (for example in mobile/cellular telephony), being also relevant in the rising area of sensor network...
Miguel A. Vega-Rodríguez, Juan Antonio G&oa...
ISSS
1997
IEEE
142views Hardware» more  ISSS 1997»
14 years 1 months ago
Optimization Method for Broadband Modem FIR Filter Design using Common Subexpression Elimination
- An approach for broadband modem FIR filter design optimization is presented. It addresses the minimization of the number of addersubtractors used in the hardware implementation o...
Robert Pasko, Patrick Schaumont, Veerle Derudder, ...
WSC
2007
13 years 11 months ago
Subset selection and optimization for selecting binomial systems applied to supersaturated design generation
The problem of finding the binomial population with the highest success probability is considered when the number of binomial populations is large. A new rigorous indifference zo...
Ning Zheng, Theodore Allen