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 ...
Science Daily18d
Complexity of tree-planting schemes
Research with smallholder farmers in Kenya shows that tree-planting schemes must account for complex local issues and preferences.
IEEE19d
Enhancing Autonomous Driving Decision: A Hybrid Deep Reinforcement Learning-Kinematic-Based Autopilot Framework for Complex Motorway Scenes
Abstract: Autonomous vehicles (AVs) still pose challenges in improving intelligence, safety, and reliability in complex motorway scenarios. Recently, deep reinforcement learning (DRL) has demonstrated ...
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 ...