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Activity Number: 316 - Late-Breaking Session: Statistical Issues in Application of Machine Learning to High-Stakes Decisions
Type: Invited
Date/Time: Tuesday, July 31, 2018 : 10:30 AM to 12:20 PM
Sponsor: JSM Partner Societies
Abstract #333070 Presentation
Title: Machine Learning to Evaluate Forensic Evidence
Author(s): Alicia Carriquiry*
Companies: Iowa State University

Forensic evidence comes in many forms, but almost always measurements are high-dimensional. As an example, in an image of a shoe out-sole, the data consist of the coordinates of between 8,000 and 10,000 edge pixels depending on pattern and size. Forensic scientists are typically interested in questions of source: do two items have the same (perhaps unknown) source? From a statistical viewpoint, this is a classification problem that can be effectively addressed using learning algorithms. We apply learning algorithms to compute the likelihood that a specific shoe may have left the shoe print found at a crime scene.

Authors who are presenting talks have a * after their name.

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