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Session 4B: Addressing Ambiguity in Detection & Classification Tests
Автор: IDA
Загружено: 2025-05-16
Просмотров: 81
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Tyler Pleasant is a Research Associate at the Institute for Defense Analyses (IDA) within the Science, Systems, and Sustainment division. He holds a M.S. from University of Chicago in Chemistry and a B.S in Physics and Mathematics from Massachusetts Institute of Technology. In addition to his detection and classification scoring work at IDA, he works on model verification & validation, data analysis, statistical testing, and technology assessments.
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