首页|Findings from University of North Carolina Chapel Hill Broaden Understanding of Machine Learning (Estimating Classification Consistency of Machine Learning Mode ls for Screening Measures)
Findings from University of North Carolina Chapel Hill Broaden Understanding of Machine Learning (Estimating Classification Consistency of Machine Learning Mode ls for Screening Measures)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Machine Learning have been presented. According to news reporting out of Chapel Hill, North Carolina, by NewsRx editors, research stated, "This article illustrates novel quantitativ e methods to estimate classification consistency in machine learning models used for screening measures. Screening measures are used in psychology and medicine to classify individuals into diagnostic classifications." Financial supporters for this research include UNC Ann Rankin Cowan Excellence A ward, NIH National Institute on Drug Abuse (NIDA), NIH National Institute on Dru g Abuse (NIDA), NIH National Institute on Alcohol Abuse & Alcoholi sm (NIAAA), NIH National Institute of Mental Health (NIMH).
Chapel HillNorth CarolinaUnited Stat esNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningUniversity of North Carolina Chapel Hill
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