摘要
机器人与机器学习每日新闻的一位新闻记者兼新闻编辑-机器学习的最新研究结果已经发表。根据NewsRx记者从英国伦敦发回的新闻报道，研究表明：“数据驱动机器学习技术已经越来越多地用于加速非线性动态系统的预测。然而，基于机器学习的长期预测模型仍然是一个重大挑战，因为在线部署中的不确定性沿着时间维度积累。”本研究的资助机构包括中国学术委员会、发动机工程与物理科学研究委员会(EPSRC)、帝国理工学院ICT服务中心。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating from London, Un ited Kingdom, by NewsRx correspondents, research stated, “Datadriven machine le arning techniques have been increasingly utilized for accelerating nonlinear dyn amic system prediction. However, machine learning-based models for long lead-tim e forecasts remain a significant challenge due to the accumulation of uncertaint y along the time dimension in online deployment.” Financial supporters for this research include China Scholarship Council, Engine ering & Physical Sciences Research Council (EPSRC), Imperial Colle ge ICT service.
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