Supervised machine learning, or supervised learning for short, includes classification algorithms such as neural networks, gradient boosting, Random Forest, Naïve Bayes, Support Vector Machines ...

Abstract: Gradient boosting is an efficient and scalable supervised machine learning technique, and most scaling models based on gradient boosting perform well on point regression tasks, but they can ...

Introduction Tree boosting has empirically proven to be efficient for predictive mining for both classification and regression. For many years, MART (multiple additive regression trees) has been the ...