Now showing items 21-30 of 30

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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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      On the optimal usage of labelled examples in semi-supervised multi-class classification problems 

      Ortigosa Hernández, Jonathan; Inza Cano, Iñaki ORCID; Lozano Alonso, José Antonio (2015-04-23)
      In recent years, the performance of semi-supervised learning has been theoretically investigated. However, most of this theoretical development has focussed on binary classification problems. In this paper, we take it a ...
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      Ontologies for representation of folk song metadata 

      Goienetxea Urkizu, Izaro; Arrieta Urtizberea, Iñaki; Bagüés, Jon; Cuesta, Arantza; Leiñena, Pello; Conklin, Darrell (2012)
      The digital management of collections in museums, archives, libraries and galleries is an increasingly important part of cultural heritage studies. This paper describes a representation for folk song metadata, based on the ...
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      Oracles for audio chord estimation 

      Rocher, Thomas; Conklin, Darrell (2012)
      This paper explores how audio chord estimation could improve if information about chord boundaries or beat onsets is revealed by an oracle. Chord estimation at the frame level is compared with three simulations, each using ...
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      Sampling and learning the Mallows and Generalized Mallows models under the Cayley distance 

      Irurozki, Ekhine; Calvo Molinos, Borja ORCID; Lozano Alonso, José Antonio (2014-01-22)
      [EN]The Mallows and Generalized Mallows models are compact yet powerful and natural ways of representing a probability distribution over the space of permutations. In this paper we deal with the problems of sampling and ...
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      Sampling and learning the Mallows and Weighted Mallows models under the Hamming distance 

      Irurozki, Ekhine; Calvo Molinos, Borja ORCID; Lozano Alonso, José Antonio (2014-01-22)
      [EN]In this paper we deal with distributions over permutation spaces. The Mallows model is the mode l in use. The associated distance for permutations is the Hamming distance.
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      Sampling and learning the Mallows model under the Ulam distance 

      Irurozki, Ekhine; Ceberio Uribe, Josu ORCID; Calvo Molinos, Borja ORCID; Lozano Alonso, José Antonio (2014-01-22)
      [EN]In this paper we deal with probability distributions over permutation spaces. The Probability model in use is the Mallows model. The distance for permutations that the model uses in the Ulam distance.
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      Statistical model for the reproducibility in ranking based feature selection 

      Urkullu Villanueva, Ari; Pérez Martínez, Aritz; Calvo Molinos, Borja ORCID (2017-10-25)
      Recently, concerns about the reproducibility of scientific studies have been growing among the scientific community, mainly due to the existing large quantity of irreproducible results. This has reach such an extent that ...
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      The Linear Ordering Problem Revisited 

      Ceberio Uribe, Josu ORCID; Mendiburu Alberro, Alexander; Lozano Alonso, José Antonio (2014-01-08)
      The Linear Ordering Problem is a popular combinatorial optimisation problem which has been extensively addressed in the literature. However, in spite of its popularity, little is known about the characteristics of this ...
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      Using network mesures to test evolved NK-landscapes 

      Santana Hermida, Roberto ORCID; Mendiburu Alberro, Alexander; Lozano Alonso, José Antonio (2012)
      In this paper we empirically investigate which are the structural characteristics that can help to predict the complexity of NK-landscape instances for estimation of distribution algorithms. To this end, we evolve instances ...