Consequently, in this article, a novel decision-making method designed to meet the demands of multiple reactive tasks is proposed to serve autonomous driving sweepers. Smart nodes (smart sequence and ...

Jan 20 (Reuters) - Foreign ministers of the Southeast Asian bloc ASEAN at a weekend retreat upheld their decision to bar Myanmar’s ruling generals from their summits and limit the country's ...

Gradient boosted decision tree (GBDT) is a popular machine learning algorithm. Current open-sourced GBDT implementations are mainly designed for single output. When there are multiple outputs, they ...

Abstract: Gradient-boosting decision tree classifiers (GBDTs) are susceptible to adversarial perturbation attacks that change inputs slightly to cause misclassification. GBDTs are customarily used on ...

The Cleveland Browns own the No. 2 overall pick in the NFL Draft this year, and most are assuming that the Browns will play it safe and simply take a quarterback at that spot. After all, Cleveland ...

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning ...