Elimination capability for active machine learning
OwnerDaniel Reker, Yan Xiang +1inventors
InventorsDaniel Reker, Yan Xiang, Samuel James Kang-Li Wang
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Abstract
A method of datapoint elimination for an active learning algorithm includes monitoring datapoints in a labeled training dataset as new labeled datapoints are added to the labeled training dataset; determining whether datapoints in the labeled training dataset satisfy a criterion for elimination operations of an elimination protocol; and applying the elimination operations of the elimination protocol to remove one or more datapoints from the labeled training dataset.
Claims20
A method of datapoint elimination for an active learning algorithm, comprising:
- monitoring datapoints in a labeled training dataset as new labeled datapoints are added to the labeled training dataset;
- determining that datapoints in the labeled training dataset satisfy a criterion for elimination operations of an elimination protocol;
- and
- applying the elimination operations of the elimination protocol to remove one or more datapoints from the labeled training dataset.
A computing system comprising:
- a processing system;
- a storage system;
- instructions for an active learning method having elimination capabilities stored on the storage system that when executed by the processing system direct the computing system to:
- select one or more datapoints from one or more resources;
- query an oracle for a label for each of the one or more datapoints that are unlabeled;
- add labeled datapoints to a labeled training dataset;
- train a machine learning model using the labeled training dataset;
- monitor datapoints in the labeled training dataset as new labeled datapoints are added to the labeled training dataset;
- determine whether datapoints in the labeled training dataset satisfy a criterion for elimination operations of an elimination protocol;
- apply the elimination operations of the elimination protocol to remove one or more datapoints from the labeled training dataset;
- and
- update the machine learning model using an updated labeled training dataset as resulting from applying the elimination operations of the elimination protocol.
Dependencies are inferred from the claim text.