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GECCO
2006
Springer
165views Optimization» more  GECCO 2006»
15 years 6 months ago
Comparing mathematical models on the problem of network inference
In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of different mathemat...
Christian Spieth, Nadine Hassis, Felix Streichert
114
Voted
ALMOB
2007
129views more  ALMOB 2007»
15 years 2 months ago
Consistency of the Neighbor-Net Algorithm
Background: Neighbor-Net is a novel method for phylogenetic analysis that is currently being widely used in areas such as virology, bacteriology, and plant evolution. Given an inp...
David Bryant, Vincent Moulton, Andreas Spillner
GECCO
2003
Springer
103views Optimization» more  GECCO 2003»
15 years 7 months ago
Evaluation of Parameter Sensitivity for Portable Embedded Systems through Evolutionary Techniques
Power consumption and portability issues are becoming increasingly significant in embedded system architectures. Therefore, it is important that chip architects and integrated circ...
James Northern III, Michael A. Shanblatt
157
Voted
FLAIRS
2008
15 years 4 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...
GECCO
2007
Springer
144views Optimization» more  GECCO 2007»
15 years 6 months ago
Multiobjective network design for realistic traffic models
Network topology design problems find application in several real life scenarios. However, most designs in the past either optimize for a single criterion like delay or assume sim...
Nilanjan Banerjee, Rajeev Kumar