The Rise Of Explainable AI: Bringing Transparency And Trust To Algorithmic Decisions
As the "black-box" problem creates challenges for AI, explainable AI can help reshape business-to-business operations by ...
Neuroscientists crack the code of how we make decisions with new mathematical framework
A new mathematical model sheds light on how the brain processes different cues, such as sights and sounds, during decision ...
BBC25d
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 ...
Reuters26d
ASEAN upholds decision to bar Myanmar generals from summits, urges self-restraint in S. China Sea
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 ...
GitHub26d
GBDT-MO: Gradient Boosted Decision Tree for Multiple Outputs
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 ...
IEEE28d
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 ...