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GENERATING NEGATIVE CLASSIFIER DATA BASED ON POSITIVE CLASSIFIER DATA

机译:基于正分类器数据生成负分类器数据

摘要

Examples relate to generating negative classifier data based on positive classifier data. In one example, a computing device may: obtain positive classifier data for a first class, the positive classifier data including at least one correlated feature set and, for each correlated feature set, a measure of likelihood that data matching the correlated feature set belongs to the first class; determine, for each feature included in the at least one correlated feature set, a de-correlated measure of likelihood that data including the feature belongs to the first class; and generate, based on each de-correlated measure of likelihood, negative classifier data for classifying data as belonging to a second class.
机译:示例涉及基于正分类器数据生成负分类器数据。在一个示例中,计算设备可以:获得用于第一类别的正分类器数据,该正分类器数据包括至少一个相关特征集,并且对于每个相关特征集,与该相关特征集匹配的数据属于的可能性的度量头等舱对于至少一个相关特征集中包括的每个特征,确定包括该特征的数据属于第一类的可能性的去相关度量;并基于每个似然性的不相关度量,生成负分类器数据以将数据分类为第二类。

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