Mostrando 10 resultados de: 11
Filtros aplicados
Publisher
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(3)
Neurocomputing(2)
Pattern Recognition(2)
Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)(1)
Neural Processing Letters(1)
Área temáticas
Ciencias de la computación(6)
Programación informática, programas, datos, seguridad(3)
Funcionamiento de bibliotecas y archivos(2)
Fisiología humana(1)
Métodos informáticos especiales(1)
Origen
scopus(11)
Analyzing human gait and posture by combining feature selection and kernel methods
ArticleAbstract: This paper evaluates a set of computational algorithms for the automatic estimation of human posturePalabras claves:Human gait and posture detection, Inertial body sensor, Kernel methods application, time series analysisAutores:Cabestany J., Cecilio Angulo Bahón, Mallofre A.C., Pardo D.E., Samà A.Fuentes:scopusDual unification of bi-class support vector machine formulations
ArticleAbstract: Support vector machine (SVM) theory was originally developed on the basis of a linearly separable biPalabras claves:Bi-classification, Convex hull, Large margin principle, Optimization, SVMAutores:Cecilio Angulo Bahón, Gonzalez-Abril L., Mallofre A.C., Velasco F.Fuentes:scopusMulti-classification with Tri-class support vector machines. A review
Conference ObjectAbstract: In this article, with the aim to avoid the loss of information that occurs in the usual one-versus-oPalabras claves:Autores:Cecilio Angulo Bahón, Gonzalez-Abril L., Mallofre A.C., Velasco F.Fuentes:scopusOrdinal regression with K-SVCR machines
Conference ObjectAbstract: The ordinal regression problem or ordination have mixed features of both, the classification and thePalabras claves:Autores:Cecilio Angulo Bahón, Mallofre A.C.Fuentes:scopusK-SVCR. A support vector machine for multi-class classification
ArticleAbstract: The problem of multi-class classification is usually solved by a decomposing and reconstruction procPalabras claves:Multi-classification, robustness, SUPPORT VECTOR MACHINESAutores:Cecilio Angulo Bahón, Mallofre A.C., Parra-Llanas X.Fuentes:scopusKernel machines for non-vectorial data
Conference ObjectAbstract: This work presents a short introduction to the main ideas behind the design of specific kernel functPalabras claves:Autores:Agell N., Cecilio Angulo Bahón, Mallofre A.C., Ruiz F.J.Fuentes:scopusUnified dual for bi-class SVM approaches
ArticleAbstract: SVM theory was originally developed on the basis of a separable binary classification problem, and oPalabras claves:Binary classification, Kernels, Large margin principle, QP-problem, SVMAutores:Cecilio Angulo Bahón, Gonzalez-Abril L., Mallofre A.C., Velasco F.Fuentes:scopusRule extraction based on support and prototype vectors
ArticleAbstract: The support vector machine (SVM) is a modelling technique based on the statistical learning theory (Palabras claves:Autores:Cecilio Angulo Bahón, Mallofre A.C., Nuñez H.Fuentes:scopusRule extraction from radial basis function networks by using support vectors
Conference ObjectAbstract: In this paper, a procedure for rule extraction from radial basis function networks (RBFNs) is proposPalabras claves:Autores:Cecilio Angulo Bahón, Mallofre A.C., Nuñez H.Fuentes:scopusRule-based learning systems for support vector machines
ArticleAbstract: In this article, we propose some methods for deriving symbolic interpretation of data in the form ofPalabras claves:RBF neural networks, Rule based learning system, Rule extraction, Support Vector MachineAutores:Cecilio Angulo Bahón, Mallofre A.C., Nuñez H.Fuentes:scopus