uBoost: a boosting method for producing uniform selection efficiencies from multivariate classifiers
The use of multivariate classifiers, especially neural networks and decision trees, has become commonplace in particle physics. Typically, a series of classifiers is trained rather than just one to enhance the performance; this is known as boosting. This paper presents a novel method of boosting tha...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
IOP Publishing
2014
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| Online Access: | http://hdl.handle.net/1721.1/88588 https://orcid.org/0000-0001-8285-3346 https://orcid.org/0000-0002-0816-200X |