首页|Reports Outline Machine Learning Findings from New Mexico State University (Comp aring Human Evaluations of Eyewitness Statements To a Machine Learning Classifie r Under Pristine and Suboptimal Lineup Administration Procedures)
Reports Outline Machine Learning Findings from New Mexico State University (Comp aring Human Evaluations of Eyewitness Statements To a Machine Learning Classifie r Under Pristine and Suboptimal Lineup Administration Procedures)
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Data detailed on Machine Learning have been presented. According to news originating from Las Cruces, New Mexico, by N ewsRx correspondents, research stated, "Recent work highlights the ability of ve rbal machine learning classifiers to distinguish between accurate and inaccurate recognition memory decisions (Dobbins, 2022; Dobbins & Kantner, 2 019; Seale-Carlisle, Grabman, & Dodson, 2022). Given the surge of interest in these modeling techniques, there is an urgent need to investigate ve rbal classifiers' limitations-particularly in applied contexts such as when po lice collect eyewitness's confidence statements." Financial support for this research came from National Science Foundation (NSF).
Las CrucesNew MexicoUnited StatesN orth and Central AmericaCyborgsEmerging TechnologiesMachine LearningNew Mexico State University
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