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WABI
2005
Springer
118views Bioinformatics» more  WABI 2005»
14 years 1 months ago
A Hidden Markov Technique for Haplotype Reconstruction
We give a new algorithm for the genotype phasing problem. Our solution is based on a hidden Markov model for haplotypes. The model has a uniform structure, unlike most solutions pr...
Pasi Rastas, Mikko Koivisto, Heikki Mannila, Esko ...
GEOINFORMATICA
2002
136views more  GEOINFORMATICA 2002»
13 years 7 months ago
Tabu Search Heuristic for Point-Feature Cartographic Label Placement
The generation of better label placement configurations in maps is a problem that comes up in automated cartographic production. The objective of a good label placement is to displ...
Missae Yamamoto, Gilberto Câmara, Luiz Anton...
FLAIRS
2008
13 years 10 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
2010
113views more  BMCBI 2010»
13 years 7 months ago
Unifying generative and discriminative learning principles
Background: The recognition of functional binding sites in genomic DNA remains one of the fundamental challenges of genome research. During the last decades, a plethora of differe...
Jens Keilwagen, Jan Grau, Stefan Posch, Marc Stric...
EMO
2006
Springer
219views Optimization» more  EMO 2006»
13 years 11 months ago
ParadisEO-MOEO: A Framework for Evolutionary Multi-objective Optimization
Abstract. This paper presents ParadisEO-MOEO, a white-box objectoriented generic framework dedicated to the flexible design of evolutionary multi-objective algorithms. This paradig...
Arnaud Liefooghe, Matthieu Basseur, Laetitia Jourd...