A machine‐learning approach to detecting unknown bacterial serovars

DOI10.1002/SAM.10085OpenAlexW3083460247WikidataQ34097552 ScholiaQ34097552MaRDI QIDQ4969730

Bartek Rajwa, V. Jo Davisson, E. Daniel Hirleman, Ferit Akova, Murat Dundar, Arun K. Bhunia, J. Paul Robinson

Publication date: 14 October 2020

Published in: Statistical Analysis and Data Mining: The ASA Data Science Journal (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3230886

zbMATH Keywords

novelty detectionanomaly detectionBayesian classifiernonexhaustive training data

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Cites Work

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• Estimating the Support of a High-Dimensional Distribution
• Partially pooled covariance matrix estimation in discriminant analysis
• Finite mixture models

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