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 ...
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 Supreme Court’s remarkably speedy decision Friday to allow a controversial ban on TikTok to take hold will have a dramatic impact on the tens of millions of Americans who visit the app every ...
Many organizations realize the importance of data-driven decision-making, yet few manage to harness the full potential of their data. The list of challenges ranges from fragmented data silos to ...
The 2 Billion Trees (2BT) program has launched an ongoing call for proposals – applications can be submitted anytime. The 2BT program will process and assess proposals based on the submission date and ...
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 ...
The purpose of the Decision-Making Policy Manual for Board Members is to support Board members in exercising their discretionary authority and meeting the objectives of the statutory framework, in a ...
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