5 papers
Random Machines Regression Approach: an ensemble support vector regression model with free kernel choice
Anderson Ara, Mateus Maia, Samuel Macêdo +1
Machine learning techniques always aim to reduce the generalized prediction error. In order to reduce it, ensemble methods present a good approach combining several models that res…
Random Machines: A bagged-weighted support vector model with free kernel choice
Anderson Ara, Mateus Maia, Samuel Macêdo +1
Improvement of statistical learning models in order to increase efficiency in solving classification or regression problems is still a goal pursued by the scientific community. In…
Feature Selection Approach with Missing Values Conducted for Statistical Learning: A Case Study of Entrepreneurship Survival Dataset
Diego Nascimento, Anderson Ara, Francisco Louzada Neto
In this article, we investigate the features which enhanced discriminate the survival in the micro and small business (MSE) using the approach of data mining with feature selection…
MWStat: A Modulated Web-Based Statistical System
Francisco Louzada, Anderson Ara
In this paper we present the development of a modulated web based statistical system, hereafter MWStat, which shifts the statistical paradigm of analyzing data into a real time str…
Classification methods applied to credit scoring: A systematic review and overall comparison
Francisco Louzada, Anderson Ara, Guilherme B. Fernandes
The need for controlling and effectively managing credit risk has led financial institutions to excel in improving techniques designed for this purpose, resulting in the developmen…