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METHOD AND SYSTEM FOR DYNAMIC UPDATING OF CLASSIFIER PARAMETERS BASED ON DYNAMIC BUFFERS
METHOD AND SYSTEM FOR DYNAMIC UPDATING OF CLASSIFIER PARAMETERS BASED ON DYNAMIC BUFFERS
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机译:基于动态缓冲的动态分类器参数更新方法及系统
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摘要
A system and methods are provided for dynamic classifying in real time cases received in a stream of big data. The system comprises multiple remote autonomous classifiers. Each autonomous classifier generates a classification scheme comprising a plurality of classifier parameters. Upon receiving a case, the system determines from among the plurality of classifier parameters a most similar classifier parameter and the case may be added to a buffer of cases represented by the most similar classifier parameter. When a measure of error between the case and the most similar classifier parameter is greater than a threshold, the buffer is dynamically regrouped into one or more new buffers, according to a criterion of segmentation quality. One or more new classifier parameters, representing the one or more regrouped case buffers, are added to the classification scheme.
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