首页|Studies from University of Washington Reveal New Findings on Machine Learning (I n Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Reci divism Prediction)
Studies from University of Washington Reveal New Findings on Machine Learning (I n Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Reci divism Prediction)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating in Seattle, Washi ngton, by NewsRx journalists, research stated, “We study interpretable recidivis m prediction using machine learning (ML) models and analyze performance in terms of prediction ability, sparsity, and fairness. Unlike previous works, this stud y trains interpretable models that output probabilities rather than binary predi ctions, and uses quantitative fairness definitions to assess the models.” Financial supporters for this research include Arnold Ventures, Department of Co mputer Science at Duke University, Department of Electrical and Computer Enginee ring at Duke University, Lord Foundation of North Carolina.
SeattleWashingtonUnited StatesNort h and Central AmericaCyborgsEmerging TechnologiesMachine LearningUnivers ity of Washington
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