Search
Now showing items 1-2 of 2
Using Machine Learning to Improve Neutron Tagging Efficiency in Water Cherenkov Detectors
(University of Winnipeg, 2021-11-25)
When an anti-neutrino collides with a proton in the atomic nucleus, it yields an anti-lepton and a free neutron. In a water Cherenkov neutrino detector like Super-K or the next generation Hyper-K, the free neutron is ...
Short Text Classification with Tolerance Near Sets
(University of Winnipeg, 2021-08-13)
Text classification is a classical machine learning application in Natural Language Processing, which aims to assign labels to textual units such as documents, sentences, paragraphs, and queries. Applications of text ...