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1. 发明申请

WO2014194480A1 AIR QUALITY INFERENCE USING MULTIPLE DATA SOURCES 审中-公开
标题翻译：使用多个数据源的空气质量控制
公开(公告)号：WO2014194480A1
公开(公告)日：2014-12-11
申请号：PCT/CN2013/076749
申请日：2013-06-05
申请人： MICROSOFT CORPORATION , ZHENG, Yu , XIE, Xing , MA, Wei-Ying , HON, Hsiao-Wuen , CHANG, Eric I-Chao
发明人： ZHENG, Yu , XIE, Xing , MA, Wei-Ying , HON, Hsiao-Wuen , CHANG, Eric I-Chao
IPC分类号： G06F19/00 , G06N3/08
CPC分类号： G06N7/005 , G06N3/08 , G06N99/005
摘要： The use of data from multiple data source provides inferred air quality indices with respect to a particular pollutant for multiple areas without the addition of air quality monitor stations to those areas. Labeled air quality index data for a pollutant in a region may be obtained from one or more air quality monitor stations. Spatial features for the region may be extracted from spatially-related data for the region. The spatially-related data may include information on fixed infrastructures in the region. Likewise, temporal features for the region may be extracted from temporally-related data for the region that changes over time. A co-training based learning framework may be further applied to co-train a spatial classifier and a temporal classifier based at least on the labeled air quality index data, the spatial features for the region, and the temporal features for the region.
摘要翻译：使用多个数据源的数据可以为多个地区的特定污染物提供推测的空气质量指标，而无需向这些地区添加空气质量监测站。可以从一个或多个空气质量监测站获得区域中污染物的标签空气质量指数数据。该区域的空间特征可以从该区域的空间相关数据中提取。与空间有关的数据可能包括有关该地区固定基础设施的信息。类似地，可以从随时间变化的区域的时间相关数据中提取该区域的时间特征。基于共同训练的学习框架可以进一步应用于至少基于标记的空气质量指数数据，区域的空间特征以及该区域的时间特征来共同训练空间分类器和时间分类器。

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