dc.contributor.author | Stevens, Justin | |
dc.contributor.author | Williams, Michael | |
dc.date.accessioned | 2014-08-07T16:45:32Z | |
dc.date.available | 2014-08-07T16:45:32Z | |
dc.date.issued | 2013-12 | |
dc.date.submitted | 2013-06 | |
dc.identifier.issn | 1748-0221 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/88588 | |
dc.description.abstract | 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 that produces a uniform selection efficiency in a selected multivariate space. Such a technique is well suited for amplitude analyses or other situations where optimizing a single integrated figure of merit is not what is desired. | en_US |
dc.description.sponsorship | United States. Dept. of Energy (Cooperative Research Agreement DE-FG02-94ER-40818) | en_US |
dc.description.sponsorship | United States. Dept. of Energy (Early Career Award DE-SC0010497) | en_US |
dc.language.iso | en_US | |
dc.publisher | IOP Publishing | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1088/1748-0221/8/12/p12013 | en_US |
dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
dc.source | arXiv | en_US |
dc.title | uBoost: a boosting method for producing uniform selection efficiencies from multivariate classifiers | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Stevens, J, and M Williams. “uBoost: a Boosting Method for Producing Uniform Selection Efficiencies from Multivariate Classifiers.” Journal of Instrumentation 8, no. 12 (December 23, 2013): P12013–P12013. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Physics | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Laboratory for Nuclear Science | en_US |
dc.contributor.mitauthor | Stevens, Justin | en_US |
dc.contributor.mitauthor | Williams, Michael | en_US |
dc.relation.journal | Journal of Instrumentation | en_US |
dc.eprint.version | Author's final manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dspace.orderedauthors | Stevens, J; Williams, M | en_US |
dc.identifier.orcid | https://orcid.org/0000-0001-8285-3346 | |
dc.identifier.orcid | https://orcid.org/0000-0002-0816-200X | |
mit.license | OPEN_ACCESS_POLICY | en_US |
mit.metadata.status | Complete | |