Ara es mostren els items 1-20 de 84

    • 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 ...
    • 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 new kernelized associative memory and some of its applications 

      Saltz, Matthew; Belanche Muñoz, Luis Antonio (IOS Press, 2016)
      Text en actes de congrés
      Accés obert
      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)
      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 ...
    • A thermodynamic algorithm for feature selection 

      Belanche Muñoz, Luis Antonio; González Navarro, Félix Fernando (Thomson Editores Spain, 2007)
      Text en actes de congrés
      Accés obert
      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)
      Report de recerca
      Accés obert
      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)
      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 ...
    • An Application example of the breeder genetic algorithm to function optimization 

      Belanche Muñoz, Luis Antonio (Escola Tècnica Superior d'Enginyers de Telecomunicació de Barcelona, 1999)
      Article
      Accés obert
    • An evaluation of equity premium prediction using multiple kernel learning with financial features 

      Arratia Quesada, Argimiro Alejandro; Belanche Muñoz, Luis Antonio; Fábregues de los Santos, Luis (2020-08)
      Article
      Accés obert
      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 ...
    • Analysis of kernel matrices via the von Neumann entropy and its relation to RVM performances 

      Belanche Muñoz, Luis Antonio; Wiejacha, Malgorzata (2023-01-12)
      Article
      Accés obert
      Kernel methods have played a major role in the last two decades in the modeling and visualization of complex problems in data science. The choice of kernel function remains an open research area and the reasons why some ...
    • Aprendizaje automático 

      Moreno, Antonio; Armengol, Eva; Béjar Alonso, Javier; Belanche Muñoz, Luis Antonio; Cortés García, Claudio Ulises; Gavaldà Mestre, Ricard; Gimeno, Juan Manuel; Martín Muñoz, Mario; Sànchez-Marrè, Miquel (Edicions UPC, 1994)
      Llibre
      Accés obert
      En este libro se introducen los conceptos básicos en una de las ramas más estudiadas actualmente dentro de la inteligencia artificial: el aprendizaje automático. Se estudian temas como el aprendizaje inductivo, el razonamiento ...
    • 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 obert
      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 ...