Now showing items 1-7 of 7

    • A New Clustering Algorithm Based on Pattern Extraction in Molecular Fingerprints 

      Palacios Bejarano, Bernardo; Cerruela García, Gonzalo; Luque Ruiz, Irene; García-Pedrajas, Nicolás; Gómez-Nieto, Miguel Ángel (2017-12-11)
      In this paper an algorithm for the extraction of patterns in chemical fingerprints is described. As input this algorithm uses a fingerprint representation of the molecule dataset, generating a group of consistent disjoint ...
    • Cooperative coevolution of artificial neural network ensembles for pattern classification 

      Ortiz-Boyer, Domingo; Hervás-Martínez, César; García-Pedrajas, Nicolás (IEEE, 2005)
      This paper presents a cooperative coevolutive approach for designing neural network ensembles. Cooperative coevolution is a recent paradigm in evolutionary computation that allows the effective modeling of cooperative ...
    • COVNET : A cooperative coevolutionary model for evolving artificial neural networks 

      Muñoz-Pérez, José; Hervás-Martínez, César; García-Pedrajas, Nicolás (IEEE, 2003)
      This paper presents COVNET, a new cooperative coevolutionary model for evolving artificial neural networks. This model is based on the idea of coevolving subnetworks. that must cooperate to form a solution for a specific ...
    • Hybridization of evolutionary algorithms and local search by means of a clustering method 

      Martínez-Estudillo, Francisco José; Hervás-Martínez, César; García-Pedrajas, Nicolás (IEEE, 2006)
      This paper presents a hybrid evolutionary algorithm (EA) to solve nonlinear-regression problems. Although EAs have proven their ability to explore large search spaces, they are comparatively inefficient in fine tuning the ...
    • Improving multiclass pattern recognition by the combination of two strategies 

      Ortiz-Boyer, Domingo; García-Pedrajas, Nicolás (IEEE, 2006)
      We present a new method of multiclass classification based on the combination of one- vs- all method and a modification of one- vs- one method. This combination of one- vs- all and one- vs- one methods proposed enforces ...
    • Nonlinear Boosting Projections for Ensemble Construction 

      García-Pedrajas, Nicolás; García-Osorio, César; Fyfe, Colin (Dale Schuurmans, 2007)
      In this paper we propose a novel approach for ensemble construction based on the use of nonlinear projections to achieve both accuracy and diversity of individual classifiers. The proposed approach combines the philosophy ...
    • Teaching push-down automata and Turing machines 

      García-Osorio, César; Mediavilla-Sáiz, Iñigo; Jimeno-Visitación, Javier; García-Pedrajas, Nicolás (2014-02-27)
      In this paper we present the new version of a tool to assist in teaching formal languages and automata theory. In the previous version the tool provided algorithms for regular expressions, finite automata and context ...