Machine learning in forensic applications

Date
2019-04-01
Authors
Carriquiry, Alicia
Hofmann, Heike
Tai, Xiao Hui
VanderPlas, Susan
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Center for Statistics and Applications in Forensic EvidenceStatistics
Abstract

The 2009 National Academy of Sciences report found pattern‐evidence disciplines to be rife with subjectivity. In the decade since, machine learning methods have been developed to try to address that issue. By Alicia Carriquiry, Heike Hofmann, Xiao Hui Tai and Susan VanderPlas.

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This following article is published as Carriquiry, Alicia, Heike Hofmann, Xiao Hui Tai, and Susan VanderPlas. "Machine learning in forensic applications." Significance 16, no. 2 (2019): 29-35. Posted with permission of CSAFE.

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