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-机器学习的新研究是一篇报道的主题。据新闻报道NewsRx记者的报道源于联合王国格拉斯哥，研究称，“时空”大气污染物浓度的预测对于评估法规遵从性和在流行病学研究中产生暴露估计值。许多方法已被用于进行此类预测，包括土地利用模型回归、可加模型、时空平滑预测算法中的模型和机器学习"。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Glasgow, Unite d Kingdom, by NewsRx journalists, research stated, “The spatiotemporalpredicti on of air pollutant concentrations is vital for assessing regulatory compliance and forproducing exposure estimates in epidemiological studies. Numerous approa ches have been utilised formaking such predictions, including land use regressi on models, additive models, spatio-temporal smoothingmodels and machine learnin g prediction algorithms.”
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