AZoBuild on MSN10d
AI Predicts Concrete Strength with High Accuracy, Study Finds
AI-driven models for predicting concrete compressive strength show promise, with machine learning techniques improving ...
ebm.bmj20d
Shared decision-making as a method of care
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 ...
IEEE1mon
A Decision-Making Algorithm of Multiple Reactive Tasks for Autonomous Driving Sweepers Based on Behavior Trees
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 ...
BBC1mon
Trees might not be acting in the way we thought - this forest fitted with pipes can tell us why
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 ...
IEEE1mon
On the Adversarial Robustness of Decision Trees and a Symmetry Defense
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 ...
GitHub6mon
decision-trees
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 ...