Publications

Displaying 751 - 775 of 1227

Publication	Date
Symmetry in evolutionary and estimation of distribution algorithms Authors: Robert I. McKay,Jose A. Lozano,Roberto Santana Symmetry has hitherto been studied piecemeal in a variety of evolutionary computation domains, with little consistency between the definitions. Here we provide formal definitions of symmetry that are consistent across the field of evolutionary computation. We propose a number of evolutionary and… IEEE	2013-06-01
The Plackett-Luce ranking model on permutation-based optimization problems Authors: Jose A. Lozano,Alexander Mendiburu,Josu Ceberio Estimation of distribution algorithms are known as powerful evolutionary algorithms that have been widely used for diverse types of problems. However, they have not been extensively developed for permutation-based problems. Recently, some progress has been made in this area by introducing… IEEE	2013-06-01
The forward problem for the electromagnetic Helmholtz equation with critical singularities Authors: Barceló, Juan Antonio,Vega, Luis,Zubeldia, Miren We study the forward problem of the magnetic Schr��dinger operator with potentials that have a strong singularity at the origin. We obtain new resolvent estimates and give some applications on the spectral measure and on the solutions of the associated evolution problem. Elsevier BV	2013-06-01
Significance tests or confidence intervals: which are preferable for the comparison of classifiers? Authors: Daniel Berrar,Jose A. Lozano Null hypothesis significance tests and their p-values currently dominate the statistical evaluation of classifiers in machine learning. Here, we discuss fundamental problems of this research practice. We focus on the problem of comparing multiple fully specified classifiers on a small-sample test… Informa UK Limited	2013-06-01
Interference mechanism of seemingly superluminal tunneling Authors: Sokolovski, D.,Akhmatskaya, E. Apparently 'superluminal' transmission, e.g., in quantum tunnelling and its variants, occurs via a subtle interference mechanism which allows reconstruction of the entire spacial shape of a wave packet from its front tail. It is unlikely that the effect could be described adequately in simpler… American Physical Society (APS)	2013-05-08
Preface Authors: Paszyński, Maciej,Cetnarowicz, Krzysztof,Schaefer, Robert,Pardo, David,Calo, Victor Elsevier BV	2013-05-01
A multi-objective grouping Harmony Search algorithm for the optimal distribution of 24-hour medical emergency units Authors: Diana Manjarres,Itziar Landa-Torres,Sancho Salcedo-Sanz,J. Del Ser,Sergio Gil-Lopez Highlights? A multi-objective Harmony Search algorithm is presented. ? A problem of 24-h emergency centers location is solved. ? A realistic case in two regions of Spain if discussed. This paper presents a novel multi-objective heuristic approach for the efficient distribution of 24-h emergency… Elsevier BV	2013-05-01
Preventing deadlock during anisotropic 2D mesh adaptation in hp-adaptive FEM Authors: Arkadiusz Szymczak,David Pardo,Anna Paszyńska,Maciej Paszyński Abstract The paper presents a grammar for anisotropic two-dimensional mesh adaptation in hp -adaptive Finite Element Method with rectangular elements. Expressing mesh transformations as grammar productions is useful for concurrency analysis thanks to exhibiting the partial causality order (… Elsevier BV	2013-05-01
The Aula EspaZio Gela and the Master of Space Science and Technology in the Universidad del País Vasco (University of the Basque Country) Authors: Agustín Sánchez-Lavega,Alberto Oleaga,Santiago Pérez-Hoyos,Ricardo Hueso,Teresa del Río-Gaztelurrutia We present the Aula EspaZio Gela, a facility dedicated to teaching Space Science and Technology at the master and doctorate level at the University of the Basque Country (Spain), and to promoting the development of this field in both public and private sectors. The one-year master's degree in Space… Informa UK Limited	2013-04-22
A direct solver with reutilization of LU factorizations forh-adaptive finite element grids with point singularities Authors: Paszynski, Maciej,Pardo, David,Calo, Victor M. This paper describes a direct solver algorithm for a sequence of finite element meshes that are h-refined towards one or several point singularities. For such a sequence of grids, the solver delivers linear computational cost O(N) in terms of CPU time and memory with respect to the number of… Elsevier BV	2013-04-01
Self-adjoint extensions of Dirac operators with Coulomb type singularity Authors: Javier Duoandikoetxea,Naiara Arrizabalaga,Luis Vega In this work we construct self-adjoint extensions of the Dirac operator associated to Hermitian matrix potentials with Coulomb decay and prove that the domain is maximal. The result is obtained by means of a Hardy-Dirac type inequality. In particular, we can work with some electromagnetic… AIP Publishing	2013-04-01
A chaotic long-lived vortex at the southern pole of Venus Authors: Garate-Lopez, I.,Hueso, R.,Sánchez-Lavega, A.,Peralta, J.,Piccioni, G.,Drossart, P. International audience Springer Science and Business Media LLC	2013-03-24
Application of appropriateness criteria for hospitalization in COPD exacerbation Authors: Susana, Garcia-Gutierrez,José M, Quintana,Irantzu, Barrio,Marisa, Bare,Nerea, Fernandez,Silvia, Vidal,Nerea, Gonzalez,Iratxe, Lafuente,Edurne, Arteta,Cristóbal, Esteban,Esther, Pulido,Inmaculada, Arostegui The IRYSS-COPD appropriateness study was developed in 16 hospitals belonging to the Spanish National Health Service from June 2008 to September 2010 (n = 2,877). The objectives were to apply a set of explicit criteria for the appropriateness of hospital admission created by the RAND/UCLA… Springer Science and Business Media LLC	2013-03-19
On the recoding of continuous and bounded indexes to a binomial form: an application to quality-of-life scores Authors: Vicente Núñez-Antón,José M. Quintana,Inmaculada Arostegui The statistical analysis of patient-reported outcomes (PROs) as endpoints has shown to be of great practical relevance. The resulting scores or indexes from the questionnaires used to measure PROs could be treated as continuous or ordinal. The goal of this study is to propose and evaluate a… Informa UK Limited	2013-03-01
Efficient citywide planning of open WiFi access networks using novel grouping harmony searchheuristics Authors: Jose A. Portilla-Figueras,J. Del Ser,Sergio Gil-Lopez,Itziar Landa-Torres,Sancho Salcedo-Sanz,Diana Manjarres This paper proposes the application of a novel meta-heuristic algorithm to the metropolitan wireless local area network deployment problem. In this problem, the coverage level of the deployed network must be maximized while meeting an assigned maximum budget, set beforehand. Specifically, we… Elsevier BV	2013-03-01
A general framework for the statistical analysis of the sources of variance for classification error estimators Authors: Aritz Pérez,Jose A. Lozano,J.D. Rodriguez Estimating the prediction error of classifiers induced by supervised learning algorithms is important not only to predict its future error, but also to choose a classifier from a given set (model selection). If the goal is to estimate the prediction error of a particular classifier, the desired… Elsevier BV	2013-03-01
Influence of borehole‐eccentred tools on wireline and logging‐while‐drilling sonic logging measurements Authors: Ignacio Muga,Ignacio Muga,Paweł J. Matuszyk,Paweł J. Matuszyk,Carlos Torres-Verdín,David Pardo,Angel Mora,Victor M. Calo ABSTRACTWe describe a numerical study to quantify the influence of tool‐eccentricity on wireline (WL) and logging‐while‐drilling (LWD) sonic logging measurements. Simulations are performed with a height‐polynomial‐adaptive (hp) Fourier finite‐element method that delivers highly accurate solutions… Wiley	2013-02-13
Discrete conservation laws and the convergence of long time simulations of the mkdv equation Authors: Luis Vega,Miguel A. Alejo,Carlos Gorria Pseudospectral collocation methods and finite difference methods have been used for approximating an important family of soliton like solutions of the mKdV equation. These solutions present a structural instability which make difficult to approximate their evolution in long time intervals with… Elsevier BV	2013-02-01
Supervised pre-processing approaches in multiple class variables classification for fish recruitment forecasting Authors: Jose A. Lozano,Iñaki Inza,Jose A. Fernandes,J.D. Rodriguez,Aritz Pérez,Xabier Irigoien A multi-species approach to fisheries management requires taking into account the interactions between species in order to improve recruitment forecasting of the fish species. Recent advances in Bayesian networks direct the learning of models with several interrelated variables to be forecasted… Elsevier BV	2013-02-01
On the design of a novel two-objective harmony search approach for distance- and connectivity-based localization in wireless sensor networks Authors: Diana Manjarres,Sancho Salcedo-Sanz,Roberto Lopez-Valcarce,Itziar Landa-Torres,Sergio Gil-Lopez,Massimo Vecchio,Javier Del Ser In several wireless sensor network applications the availability of accurate nodes' location information is essential to make collected data meaningful. In this context, estimating the positions of all unknown-located nodes of the network based on noisy distance-related measurements (usually… Elsevier BV	2013-02-01
Recent Advances on Meta-Heuristics and Their Application to Real Scenarios Authors: Javier Del Ser InTech	2013-01-30
Combining stochastic and deterministic approaches within high efficiency molecular simulations Authors: Escribano, B.,Akhmatskaya, E.,Mujika, J.I. Abstract Generalized Shadow Hybrid Monte Carlo (GSHMC) is a method for molecular simulations that rigorously alternates Monte Carlo sampling from a canonical ensemble with integration of trajectories using Molecular Dynamics (MD). While conventional hybrid Monte Carlo methods… Walter de Gruyter GmbH	2013-01-29
Multidimensional k-Interaction Classifier: Taking Advantage of All the Information Contained in Low Order Interactions Authors: Jose A. Lozano,Iñaki Inza,Aritz Pérez Martínes This work presents a multidimensional classifier described in terms of interaction factors called multidimensional k-interaction classifier. The classifier is based on a probabilistic model composed of the product of all the interaction factors of order lower or equal to k and it takes advantage of… Springer Berlin Heidelberg	2013-01-01
Inversion of Magnetotelluric Measurements Using Multigoal Oriented hp-adaptivity Authors: Julen Álvarez-Aramberri,Hélène Barucq,Hélène Barucq,David Pardo,David Pardo International audience; The inversion of magnetotelluric measurements require the computation of the quantity of interest (solution at the receivers) at different positions. Using a multigoal-oriented adaptive strategy for an hp Finite Element algorithm, we ensure accurate solutions in all… Elsevier BV	2013-01-01
Learning from Crowds in Multi-dimensional Classification Domains Authors: Jerónimo Hernández-González,Iñaki Inza,Jose A. Lozano Learning from crowds is a recently fashioned supervised classification framework where the true/real labels of the training instances are not available. However, each instance is provided with a set of noisy class labels, each indicating the class-membership of the instance according to the… Springer Berlin Heidelberg	2013-01-01