AI fuels Duke research with the potential to improve human lives, from modeling patient hearts with supercomputers and mining ...

This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...

Characteristics and predictive modeling of HER2 mutation in patients with non-small cell lung cancer. This is an ASCO Meeting Abstract from the 2023 ASCO Annual Meeting I. This abstract does not ...

Duke researchers are using advances in computing to expand our knowledge of biology and human health and build artificial ...

What is boosting in machine learning? Boosting in machine learning is a technique for training a collection of machine learning algorithms to work better together to increase accuracy, reduce bias and ...