Buscar
Mostrando ítems 11-17 de 17
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 ...
Artículo
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
Integer constraints for enhancing interpretability in linear regression
(Institut d´Estadística de Catalunya (Idescat), 2020-04-01)
One of the main challenges researchers face is to identify the most relevant features in a prediction model. As a consequence, many regularized methods seeking sparsity have flourished. Although sparse, their solutions ...
Artículo
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
Variable selection for Naïve Bayes classification
(Elsevier, 2021)
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 i ...
Artículo
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
A cost-sensitive constrained Lasso
(Springer, 2020-03-02)
The Lasso has become a benchmark data analysis procedure, and numerous variants have been proposed in the literature. Although the Lasso formulations are stated so that overall prediction error is optimized, no full ...
Artículo
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
On optimal regression trees to detect critical intervals for multivariate functional data
(ScienceDirect, 2023-01-13)
In this paper, we tailor optimal randomized regression trees to handle multivariate functional data. A compromise between prediction accuracy and sparsity is sought. Whilst fitting the tree model, the detection of a reduced ...