Ara es mostren els items 1-20 de 50

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

    Belanche Muñoz, Luis Antonio (2000-02)
    Report de recerca
    Accés obert
    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)
    Text en actes de congrés
    Accés obert
    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 ...
  • Algorithmes d'entraînement local de RBF 

    Quartier, Benoit; Belanche Muñoz, Luis Antonio (2001-10)
    Report de recerca
    Accés obert
    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 ...
  • 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)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    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 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)
    Report de recerca
    Accés obert
    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)
    Text en actes de congrés
    Accés obert
    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)
    Report de recerca
    Accés obert
    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)
    Report de recerca
    Accés obert
    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 ...
  • Averaging of kernel functions 

    Belanche Muñoz, Luis Antonio; Tosi, Alessandra (2012)
    Text en actes de congrés
    Accés obert
    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)
    Text en actes de congrés
    Accés obert
    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)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    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)
    Text en actes de congrés
    Accés obert
    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)
    Comunicació de congrés
    Accés obert
    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)
    Text en actes de congrés
    Accés obert
    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)
    Text en actes de congrés
    Accés obert
    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 (2010)
    Text en actes de congrés
    Accés obert
    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 ...
  • Effective classification and gene expression profiling for the facioscapulohumeral muscular dystrophy 

    González Navarro, Félix Fernando; Belanche Muñoz, Luis Antonio; Silva Colón, Karen Andrea (2013-12-13)
    Article
    Accés obert
    The Facioscapulohumeral Muscular Dystrophy (FSHD) is an autosomal dominant neuromuscular disorder whose incidence is estimated in about one in 400,000 to one in 20,000. No effective therapeutic strategies are known to halt ...
  • Evolutionary optimization of heterogeneous problems 

    Belanche Muñoz, Luis Antonio (2003-02)
    Report de recerca
    Accés obert
    A large number of practical optimization problems involve elements of quite diverse nature, described as mixtures of qualitative and quantitative information, and whose description is possibly incomplete. In this work we ...
  • Exploiting the accumulated evidence for gene selection in microarray gene expression data 

    Prat, Gabriel; Belanche Muñoz, Luis Antonio (2013)
    Report de recerca
    Accés obert
    Machine Learning methods have of late made signicant efforts to solving multidisciplinary problems in the field of cancer classification using microarray gene expression data. Feature subset selection methods can play an ...
  • Exploiting the accumulated evidence for gene selection in microarray gene expression data 

    Prat Masramon, Gabriel; Belanche Muñoz, Luis Antonio (IOS Press, 2010)
    Text en actes de congrés
    Accés obert
    Feature subset selection (FSS) methods play an important role for cancer classification using microarray gene expression data. In this scenario, it is extremely important to select genes by taking into account the possible ...