Now showing items 1-20 of 78

    • A Case study in neural network training with the breeder genetic algorithm 

      Belanche Muñoz, Luis Antonio (2000-02)
      External research report
      Open Access
      Supervised training from examples of a feed-forward neural network is a classical problem, traditionally tackled by derivative-based methods (DBM) that compute the gradient of the error, such as backpropagation. ...
    • A kernel extension to handle missing data 

      Nebot Troyano, Guillermo; Belanche Muñoz, Luis Antonio (Springer-Verlag, 2009)
      Conference report
      Open Access
      An extension for univariate kernels that deals with missing values is proposed. These extended kernels are shown to be valid Mercer kernels and can adapt to many types of variables, such as categorical or continuous. The ...
    • A MAP approach for convex non-negative matrix factorization in the diagnosis of brain tumors 

      Vilamala Muñoz, Albert; Belanche Muñoz, Luis Antonio; Vellido Alcacena, Alfredo (2014)
      Conference report
      Restricted access - publisher's policy
      Convex non-negative matrix factorization is a blind signal separation technique that has previously demonstrated to be well-suited for the task of human brain tumor diagnosis from magnetic resonance spectroscopy data. This ...
    • 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 ...
    • A Soft computing techniques study in wastewater treatment plants 

      Belanche Muñoz, Luis Antonio; Valdés Ramos, Julio José; Comas, Joaquim; Rodriguez-Roda, Ignasi; Poch, Manel (1999-06)
      External research report
      Open Access
      The correct control and prediction of Wastewater Treatment Plants poses an important goal: to avoid breaking the environmental balance by always keeping the system in stable operating conditions. In this respect, it is ...
    • A software system for the microbial source tracking problem 

      Sànchez Mendoza, David; Belanche Muñoz, Luis Antonio; Blanch, Anicet R. (2011)
      Conference report
      Open Access
      The aim of this paper is to report the achievement of Ichnaea, a fully computer-based prediction system that is able to make fairly accurate predictions for Microbial Source Tracking studies. The system accepts examples ...
    • A Study in function optimization with the breeder genetic algorithm 

      Belanche Muñoz, Luis Antonio (1999-10)
      External research report
      Open Access
      Optimization is concerned with the finding of global optima (hence the name) of problems that can be cast in the form of a function of several variables and constraints thereof. Among the searching methods, {em Evolutionary ...
    • A Theory for heterogeneous neuron models based on similarity 

      Belanche Muñoz, Luis Antonio (2000-02)
      External research report
      Open Access
      This work presents a class of functions serving as generalized neuron models to be used in artificial neural networks. They are cast in the common framework of computing a {it similarity} function, a flexible ...
    • 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 ...
    • About the attribute relevance's nature 

      Núñez Esquer, Gustavo; Cortés García, Claudio Ulises; Belanche Muñoz, Luis Antonio; Alvarado Mentado, Matías (1991-03)
      External research report
      Open Access
      The notion of relevance of an attribute in machine learning is of common use in the construction of classfication rules in inductive learning processes. In this work a formal definition of the relevance concept for a given ...
    • Algorithmes d'entraînement local de RBF 

      Quartier, Benoit; Belanche Muñoz, Luis Antonio (2001-10)
      External research report
      Open Access
      The aim of this work is to study the effect of locality in classification tasks with radial basis function neural networks (RBFNN). The networks are trained in a three stage process. Firstly, the data are decomposed ...
    • An evaluation of equity premium prediction using multiple kernel learning with financial features 

      Arratia Quesada, Argimiro Alejandro; Belanche Muñoz, Luis Antonio; Fábregues, Luis (2019-01-09)
      Article
      Open Access
      This paper introduces and extensively explores a forecasting procedure based on multivariate dynamic kernels to re-examine –under a non-linearframework– the experimental tests reported by Welch and ...
    • Averaging of kernel functions 

      Belanche Muñoz, Luis Antonio; Tosi, Alessandra (2012)
      Conference report
      Open Access
      In kernel-based machines, the integration of several kernels to build more flexible learning methods is a promising avenue for research. In particular, in Multiple Kernel Learning a compound kernel is build by learning a ...
    • Bayesian semi non-negative matrix factorisation 

      Vilamala Muñoz, Albert; Vellido Alcacena, Alfredo; Belanche Muñoz, Luis Antonio (I6doc.com, 2016)
      Conference report
      Open Access
      Non-negative Matrix Factorisation (NMF) has become a standard method for source identification when data, sources and mixing coefficients are constrained to be positive-valued. The method has recently been extended to allow ...
    • Bridging deep and kernel methods 

      Belanche Muñoz, Luis Antonio; Ruiz Costa-Jussà, Marta (2017)
      Conference report
      Open Access
      There has been some exciting major progress in recent years in data analysis methods, including a variety of deep learning architectures, as well as further advances in kernel-based learning methods, which have demonstrated ...
    • Classifying malignant brain tumours from 1H-MRS data using Breadth Ensemble Learning 

      Vilamala Muñoz, Albert; Belanche Muñoz, Luis Antonio; Vellido Alcacena, Alfredo (Institute of Electrical and Electronics Engineers (IEEE), 2012)
      Conference report
      Open Access
      In neuro oncology, the accurate diagnostic identification and characterization of tumours is paramount for determining their prognosis and the adequate course of treatment. This is usually a difficult problem per se, due ...
    • Desarrollo integral de las competencias genéricas mediante mapas competenciales 

      Sánchez Carracedo, Fermín; Ageno Pulido, Alicia; Belanche Muñoz, Luis Antonio; Cabré Garcia, José M.; Cobo Valeri, Erik; Farré Cirera, Rafael; García Almiñana, Jordi; López Álvarez, David; Marès Martí, Pere; Martín Escofet, Carme; Soler Cervera, Antonia (Universidad de Castilla-La Mancha, 2012-07-10)
      Conference lecture
      Open Access
      Los planes de estudio del EEES deben diseñarse a partir de las competencias de la titulación, tanto específicas como genéricas. La universidad española tiene una amplia experiencia en trabajar y evaluar las competencias ...
    • Developing professional skills at tertiary level: A model to integrate competencies across the curriculum 

      Sánchez Carracedo, Fermín; Soler Cervera, Antonia; López Álvarez, David; Martín Escofet, Carme; Ageno Pulido, Alicia; Belanche Muñoz, Luis Antonio; Cabré Garcia, José M.; Cobo Valeri, Erik; Farré Cirera, Rafael; García Almiñana, Jordi; Marès Martí, Pere (Institute of Electrical and Electronics Engineers (IEEE), 2014)
      Conference report
      Open Access
      In the context of the European Higher Education Area, curriculum design needs to be based on the defined competencies of each degree programs, including both domain specific and professional competencies. In this educational ...
    • Developments in kernel design 

      Belanche Muñoz, Luis Antonio (2013)
      Conference report
      Open Access
      The aim of this paper is to give a concise overview of kernels, with a special attention to non-standard or heterogeneous data sources (e.g. non-numerical or structured data). A second goal is to discuss the world of ...
    • Differentiation of glioblastomas and metastases using 1H-MRS spectral data 

      González Navarro, Félix Fernando; Belanche Muñoz, Luis Antonio (CSREA Press, 2010)
      Conference report
      Open Access
      Hydrogen-1 magnetic resonance spectroscopy (1H-MRS) allows noninvasive in vivo quantification of metabolite concentrations in brain tissue. In this work two of the most aggressive brain tumors are studied with the purpose ...