The researchers employed RapidMiner ® to process the datasets and test different ML techniques. Five models—generalized ...
2 Shared decision-making (SDM) has been traditionally defined as a collaborative approach by which, in partnership with their clinician, patients are encouraged to think about the available care ...
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 ...
This oak tree has stood in this very spot since long before he or I walked the Earth. It is early winter when MacKenzie, an atmospheric scientist and director of Birmingham University Institute ...
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 ...
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 ...