most citedUsing Machine Learning to Select High-Quality Measurements

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

physics.data-an2021★ 2 cited

Using Machine Learning to Select High-Quality Measurements

Andrew Edmonds, David Brown, Luciano Vinas +1

We describe the use of machine learning algorithms to select high-quality measurements for the Mu2e experiment. This technique is important for experiments with backgrounds that ar…

cs.NE2018

MyCaffe: A Complete C# Re-Write of Caffe with Reinforcement Learning

David W. Brown

Over the past few years Caffe, from Berkeley AI Research, has gained a strong following in the deep learning community with over 15K forks on the github.com/BLVC/Caffe site. With i…