Recent Submissions

  • On some strategies for missing values in positive semidefinite matrices 

    Belanche Muñoz, Luis Antonio; Vázquez García, Miguel (Thompson, 2005)
    Conference report
    Open Access
    This article presents our work on missing values in Positive Semi-Definite or PSD matrices. We show how simple properties of PSD matrices can be used to deal with missing values. We study several situations and investigate ...
  • Similarity-based heterogeneous neuron models 

    Belanche Muñoz, Luis Antonio (IOS Press, 2000)
    Conference report
    Open Access
    This paper introduces a general class of neuron models, accepting heterogeneous inputs in the form of mixtures of continuous (crisp or fuzzy) numbers, linguistic information, and discrete (either ordinal or nominal) ...
  • Fuzzy inputs and missing data in similarity-based heterogeneous neural networks 

    Belanche Muñoz, Luis Antonio; Valdés Ramos, Julio José (Springer, 1999)
    Conference report
    Open Access
    Fuzzy heterogeneous networks are recently introduced neural network models composed of neurons of a general class whose inputs and weights are mixtures of continuous variables (crisp and/or fuzzy) with discrete quantities, ...
  • A thermodynamic algorithm for feature selection 

    Belanche Muñoz, Luis Antonio; González Navarro, Félix Fernando (Thomson Editores Spain, 2007)
    Conference report
    Open Access
    The main purpose of Feature Selection (FS) is to find a reduced subset of attributes from a data set described by a feature set. This implies a search process in the space of possible solutions, trying to optimize an ...
  • Un algoritmo para el cálculo de la relevancia entrópica multivariada y su uso en la selección de variables 

    González Navarro, Félix Fernando; Belanche Muñoz, Luis Antonio (Thomson Editores Spain, 2007)
    Conference report
    Open Access
    La reducción de la dimensionalidad mediante la selección de variables es uno de los pasos fundamentales del preprocesado de datos, como fase previa al análisis de información y descubrimiento de conocimiento. De entre los ...
  • Feature selection in proton magnetic resonance spectroscopy for brain tumor classification 

    González Navarro, Félix Fernando; Belanche Muñoz, Luis Antonio (2008)
    Conference report
    Open Access
    H-MRS is a technique that uses response of protons under certain magnetic conditions to reveal the biochemical structure of human tissue. An important application is found in brain tumor diagnosis, due to the known ...
  • Using fuzzy heterogeneous neural networks to learn a model of the central nervous system control 

    Belanche Muñoz, Luis Antonio; Valdés Ramos, Julio José (Verlag Mainz, 1998)
    Conference report
    Open Access
    Fuzzy heterogeneous networks based on similarity are recently introduced feed-forward neural network models composed by neurons of a general class whose inputs are mixtures of continuous (crisp and/or fuzzy) with discrete ...
  • TFS: a thermodynamical search algorithm for feature subset selection 

    González Navarro, Félix Fernando; Belanche Muñoz, Luis Antonio (Thomson Editores Spain, 2007)
    Conference report
    Open Access
    This work tackles the problem of selecting a subset of features in an inductive learning setting, by introducing a novel Thermodynamic Feature Selection algorithm (TFS). Given a suitable objective function, the algorithm ...
  • Remainder subset awareness for feature subset selection 

    Prat Masramon, Gabriel; Belanche Muñoz, Luis Antonio (Thomson Editores Spain, 2007)
    Conference report
    Open Access
    Feature subset selection has become more and more a common topic of research. This popularity is partly due to the growth in the number of features and application domains. The family of algorithms known as plus-l-minus-r ...
  • Modeling the input-output behaviour of wastewater treatment plants using soft computing techniques 

    Belanche Muñoz, Luis Antonio; Valdes Ramos, Julio José; Comas Matas, Joaquim; Rodriguez Roda, Ignasi; Poch Espallargas, Manel (1998)
    Conference report
    Open Access
    Wastewater Treatment Plants (WWTPs) control and prediction under a wide range of operating conditions is an important goal in order to avoid breaking of environmental balance, keep the system in stable operating conditions ...
  • On the selection of hidden neurons with heuristic search strategies for approximation 

    Barrio Moliner, Ignacio; Romero Merino, Enrique; Belanche Muñoz, Luis Antonio (2006)
    Conference report
    Open Access
    Feature Selection techniques usually follow some search strategy to select a suitable subset from a set of features. Most neural network growing algorithms perform a search with Forward Selection with the objective of ...
  • A new kernelized associative memory and some of its applications 

    Saltz, Matthew; Belanche Muñoz, Luis Antonio (IOS Press, 2016)
    Conference report
    Open Access
    The classical Bidirectional Associative Memory (BAM) allows for the storage of pairs of vectors, such that when either member of the pair is presented to the BAM, the other member may be successfully recalled. This work ...

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