TRANSFERRING LEARNING IN CLASSIFIER-BASED SENSING SYSTEMS

    公开(公告)号:US20240127078A1

    公开(公告)日:2024-04-18

    申请号:US17247518

    申请日:2019-07-02

    CPC classification number: G06N5/022 G16H10/60 G16H40/67 G16H50/70

    Abstract: Systems and methods for transferring learning in sensor devices. Historical time-series measurement samples of one or more parameters associated with a biological function being monitored by the sensor device are received and assigned to clusters. Feature data extracted from the historical time-series measurement samples are used to generate cluster-specific source-domain classifiers for each cluster. Unlabeled time-series measurement samples of the one or more parameters associated with the biological function are received. A cluster-identifier is assigned to each unlabeled target-domain sample, the cluster-identifier including information identifying a cluster-specific source-domain classifier associated with the unlabeled target-domain sample. Labeled time-series measurement samples of the one or more parameters associated with the biological function are received, feature data is extracted from the labeled samples and cluster-specific target-domain classifiers are generated for each cluster based on the source-domain classifiers and the feature data extracted from the labeled samples.

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