Research Associate, Computational Nuclear Physics, National Superconducting Cyclotron Laboratory
Bayesian Neural Networks in High Energy and Nuclear Physics Using Graphics Processing Units
Friday, November 13, 2015 at 10:00 AM
307 EBERLY HALL
The Bayesian Neural Network algorithm is a supervised machine learning method for regression and classification. The algorithm will be discussed along with details of training methods on Graphics Processing Units. Specific applications in high energy and nuclear physics that the author has studied will be highlighted.