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Mostrando ítems 1-10 de 22
Artículo
Optimality and duality on Riemannian manifolds
(Mathematical Society of the Republic of China, 2018-10)
Our goal in this paper is to translate results on function classes that are characterized by the property that all the Karush-Kuhn-Tucker points are efficient solutions, obtained in Euclidean spaces to Riemannian manifolds. ...
Artículo
Computationally efficient goodness-of-fit tests for the error distribution in nonparametric regression
(Instituto Nacional de Estatística (Portugal), 2018-01)
Several procedures have been proposed for testing goodness-of-fit to the error distribution in nonparametric regression models. The null distribution of the associated test statistics is usually approximated by means of a ...
Artículo
On Building Online Visualization Maps for News Data Streams by Means of Mathematical Optimization
(Mary Ann Liebert, INC, 2018-06-01)
In this article we develop a novel online framework to visualize news data over a time horizon. First, we perform a Natural Language Processing analysis, wherein the words are extracted, and their attributes, namely the ...
Artículo
Generalized modified slash Birnbaum–Saunders distribution
(MDPI, 2018)
In this paper, a generalization of the modified slash Birnbaum-Saunders (BS) distribution is introduced. The model is defined by using the stochastic representation of the BS distribution, where the standard normal ...
Artículo
A novel approach to forecast urban surface-level ozone considering heterogeneous locations and limited information
(Elsevier, 2018)
Surface ozone (O3) is considered an hazard to human health, affecting vegetation crops and ecosystems. Accurate time and location O3 forecasting can help to protect citizens to unhealthy exposures when high levels are ...
Artículo
Professional profile of graduates with a degree in physical activity and sports science in Spain
(University of Pitesti, 2018-08)
The new job opportunities that resulted from the growth of the sports industry, due to the impact of sports on society and the increase of sports practice, along with the concern about the influence of such practice on ...
Artículo
Modelling background air pollution exposure in urban environments: Implications for epidemiological research
(Elsevier, 2018)
Background pollution represents the lowest levels of ambient air pollution to which the population is chronically exposed, but few studies have focused on thoroughly characterizing this regime. This study uses clustering ...
Artículo
Forecasting ozone threshold exceedances in urban background areas using supervised classification and easy-access information
(Elsevier, 2018)
Classification models to forecast exceedance of the ozone (O3) threshold established by European legislation are rare in literature, as is the focus on background O3, with higher concentrations at city outskirts. This ...
Artículo
Cost-sensitive feature selection for support vector machines
(Elsevier, 2018-03)
Feature Selection (FS) is a crucial procedure in Data Science tasks such as Classification, since it identifies the relevant variables, making thus the classification procedures more interpretable and more effective by ...
Artículo
Functional-bandwidth kernel for Support Vector Machine with Functional Data_An alternating optimization algorithm
(ELSEVIER SCIENCE BV, 2018-11-24)
Functional Data Analysis (FDA) is devoted to the study of data which are functions. Support Vector Ma- chine (SVM) is a benchmark tool for classification, in particular, of functional data. SVM is frequently used with a ...