Now showing items 89-92 of 92

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      KAF: Kyoto Annotation Framework 

      Agirre Bengoa, Eneko ORCID; Artola Zubillaga, Xabier ORCID; Díaz de Ilarraza Sánchez, Arantza ORCID; Rigau Claramunt, Germán ORCID; Soroa Echave, Aitor ORCID; Bosma, Wauter (2009)
      This document presents the current draft of KAF: Kyoto Annotation Framework to be used within the KYOTO project. KAF aims to provide a reference format for the representation of semantic annotations.
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      On the application of estimation of distribution algorithms to multi-marker tagging SNP selection 

      Santana Hermida, Roberto ORCID; Mendiburu Alberro, Alexander; Zaitlen, Noah; Eskin, Eleazar; Lozano Alonso, José Antonio (2009)
      This paper presents an algorithm for the automatic selection of a minimal subset of tagging single nucleotide polymorphisms (SNPs) using an estimation of distribution algorithm (EDA). The EDA stochastically searches the ...
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      MATEDA: A suite of EDA programs in Matlab 

      Santana Hermida, Roberto ORCID; Echegoyen Arruti, Carlos; Mendiburu Alberro, Alexander; Bielza, Concha; Lozano Alonso, José Antonio; Larrañaga Múgica, Pedro; Armañanzas Arnedillo, Rubén; Shakya, Siddartha (2009)
      This paper describes MATEDA-2.0, a suite of programs in Matlab for estimation of distribution algorithms. The package allows the optimization of single and multi-objective problems with estimation of distribution algorithms ...
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      Learning Probability Distributions over Permutations by Means of Fourier Coefficients 

      Irurozki, Ekhine; Calvo Molinos, Borja ORCID; Lozano Alonso, José Antonio (2011)
      A large and increasing number of data mining domains consider data that can be represented as permutations. Therefore, it is important to devise new methods to learn predictive models over datasets of permutations. However, ...