摘要
由一名新闻记者兼机器人与机器学习每日新闻的工作人员新闻编辑-一项关于机器学习的新研究现在已经可用。根据NewsRx编辑在意大利米兰的新闻报道,Research State,"目的本文旨在利用贝叶斯网络(BN)方法,结合机器学习(ML)和假设分析,研究数字技术(DT)对物流服务质量的影响(LSQ),估计与DT和SERVQUAL物流相关的概率分布及其相互关系。"这项研究的财政支持来自欧盟-下一代欧盟。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – A new study on Machine Learning is now available. According to news reporting out of Milan, Italy, by NewsRx editors, research st ated, “PurposeThis paper aims to use Bayesian network (BN) methodology complemen ted by machine learning (ML) and what-if analysis to investigate the impact of d igital technologies (DT) on logistics service quality (LSQ), this study estimates the probability distributio ns associated with both DT and SERVQUAL logistics, as well as their interrelatio nships.” Financial support for this research came from European Union-NextGenerationEU.