DOMAIN-ADAPTED CLASSIFIER GENERATION

The invention relates to a domain-adapted classifier generation. A method includes the step: receiving time series source data that is associated with a source asset and that includes a set of classification labels. The method also includes the step of receiving time series target data that is associated with a target asset and that lacks classification labels. The method further includes the step of determining time series representations from the time series source data and the time series target data. The method also includes, based on the set of classification labels included in the time series source data and at least on raw time series data or the time series representations, the step of generating a classifier operable to classify unlabeled data associated with the target asset. The raw time series data includes the time series source data and the time series target data. 本申请案涉及域适应分类器产生。一种方法包含：接收与源资产相关联且包含分类标签集合的时间序列源数据。所述方法还包含：接收与目标资产相关联且缺乏分类标签的时间序列目标数据。所述方法进一步包含：依据所述时间序列源数据及所述时间序列目标数据而确定时间序列表示。所述方法还包