Buscar
Mostrando ítems 1-10 de 14
Artículo
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
An extremal problem with applications to renewable energy production
(EDP Sciences, 2021)
Dynamic optimisation provides complex challenges for optimal solution, but greatly increases applicability when considering time dependent situations. In this work, a constrained dynamic optimisation problem is analysed ...
Artículo
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
Analysis of an aggregate loss model in a Markov renewal regime
(ELSEVIER SCIENCE INC, 2020-12-22)
In this article we consider an aggregate loss model with dependent losses. The loss oc- currence process is governed by a two-state Markovian arrival process ( MAP 2 ), a Markov renewal process that allows for (1) correlated ...
Artículo
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
On sparse optimal regression trees
(Elsevier, 2021-12-18)
In this paper, we model an optimal regression tree through a continuous optimization problem, where a compromise between prediction accuracy and both types of sparsity, namely local and global, is sought. Our approach can ...
Artículo
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
Spotting Key Members in Networks: Clustering-Embedded Eigenvector Centrality
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2020-11-03)
Identifying key members in a social network is critical to understand the underlying system behavior. Whereas there are several measures designed to discern the most central member, they fail to identify a central set of ...
Artículo
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
On sparse ensemble methods: an application to short-term predictions of the evolution of COVID-19
(Elsevier, 2021-04-18)
Since the seminal paper by Bates and Granger in 1969, a vast number of ensemble methods that combine different base regressors to generate a unique one have been proposed in the literature. The so-obtained regressor method ...
Artículo
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
Interpreting clusters via prototype optimization
(Elsevier, 2021)
In this paper, we tackle the problem of enhancing the interpretability of the results of Cluster Analy sis. Our goal is to find an explanation for each cluster, such that clusters are characterized as precisely and ...
Artículo
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
Selection of time instants and intervals with Support Vector Regression for multivariate functional data
(PERGAMON-ELSEVIER SCIENCE LTD, 2020-07-19)
When continuously monitoring processes over time, data is collected along a whole period, from which only certain time instants and certain time intervals may play a crucial role in the data analysis. We develop a method ...
Artículo
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
Constrained Naïve Bayes with application to unbalanced data classification
(Springer, 2021-09-15)
The Naïve Bayes is a tractable and efficient approach for statistical classification. In general classification problems, the consequences of misclassifications may be rather different in different classes, making it ...
Artículo
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
Variable selection for Naïve Bayes classification
(Pergamon-Elsevier Science Ltd., 2021-07-06)
The Naïve Bayes has proven to be a tractable and efficient method for classification in multivariate analysis. However, features are usually correlated, a fact that violates the Naïve Bayes’ assumption of conditional ...
Artículo
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
The tree based linear regression model for hierarchical categorical variables
(Elsevier, 2022-05-04)
Many real-life applications consider nominal categorical predictor variables that have a hierarchical structure, e.g. economic activity data in Official Statistics. In this paper, we focus on linear regression models built ...