Browsing by Author "Belanche Muñoz, Luis Antonio"
Now showing items 1-20 of 84
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A Case study in neural network training with the breeder genetic algorithm
(2000-02)
Research report
Open AccessSupervised 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
(Springer-Verlag, 2009)
Conference report
Open AccessAn 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
(2014)
Conference report
Restricted access - publisher's policyConvex 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
(IOS Press, 2016)
Conference report
Open AccessThe 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
(1999-06)
Research report
Open AccessThe 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
(2011)
Conference report
Open AccessThe 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
(1999-10)
Research report
Open AccessOptimization 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
(2000-02)
Research report
Open AccessThis 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
(Thomson Editores Spain, 2007)
Conference report
Open AccessThe 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
(1991-03)
Research report
Open AccessThe 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
(2001-10)
Research report
Open AccessThe 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
(Escola Tècnica Superior d'Enginyers de Telecomunicació de Barcelona, 1999)
Article
Open Access -
An evaluation of equity premium prediction using multiple kernel learning with financial features
(2020-08)
Article
Open AccessThis 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
(2023-01-12)
Article
Open AccessKernel 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
(Edicions UPC, 1994)
Book
Open AccessEn 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
(2012)
Conference report
Open AccessIn 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
(I6doc.com, 2016)
Conference report
Open AccessNon-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
(2017)
Conference report
Open AccessThere 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
(Institute of Electrical and Electronics Engineers (IEEE), 2012)
Conference report
Open AccessIn 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
(Universidad de Castilla-La Mancha, 2012-07-10)
Conference lecture
Open AccessLos 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 ...
