摘要
机器人与机器学习的新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。根据NewsRx记者在华盛顿州西雅图的新闻报道，研究表明，“我们使用机器学习(ML)模型研究可解释累犯m预测，并从预测能力、稀疏性和公平性方面分析性能。与以前的工作不同，这种研究训练可解释模型输出概率而不是二元预测，并使用定量公平性定义来评估模型。”这项研究的财政支持者包括阿诺德风险投资，杜克大学计算机科学系，杜克大学电气和计算机工程系，北卡罗来纳州勋爵基金会。
Abstract
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.
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