1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.ME2022★ 1 cited
GP-BART: a novel Bayesian additive regression trees approach using Gaussian processes
Mateus Maia, Keefe Murphy, Andrew C. Parnell
The Bayesian additive regression trees (BART) model is an ensemble method extensively and successfully used in regression tasks due to its consistently strong predictive performanc…
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…