摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的研究结果将在一份新报告中讨论。根据来自马萨诸塞州剑桥的新闻报道，由NewsRx记者撰写，研究称，"我们建议基于机器学习的两阶段线性自适应鲁棒优化(ARO)问题二元此时此刻变量和多面体不确定集。我们在此时此地编码最优决策、与此时此刻最优决策相关的最坏情况情景以及最优决策对我们所说的战略进行观望决定。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting from Cambridge, Massa chusetts, by NewsRx journalists, research stated, “We propose anapproach based on machine learning to solve two-stage linear adaptive robust optimization (ARO) problemswith binary here-and-now variables and polyhedral uncertainty sets. We encode the optimal here-and-nowdecisions, the worst-case scenarios associated with the optimal here-and-now decisions, and the optimalwait-and-see decisions into what we denote as the strategy.”
NETL
NSTL