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stat.ML2020
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…
stat.ML2019
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…
stat.ML2018
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…