RESIDUAL DATA IDENTIFICATION

摘要

A technique for residual data identification can include receiving a plurality of data instances in a multi-class training data set that are d as belonging to recognized categories, receiving a plurality of data instances a first unlabeled data set, and receiving a plurality of data instances in a second unlabeled data set A technique for residual data identification can include labeling the plurality of data instances in the multi-class training data set as negative data instances. A technique for residual data identification can include labeling the plurality of data instances in the first unlabeled data set as positive data instances. A technique for residual data identification can include training a classifier with the labeled negative data instances and the labeled positive data instances. A technique for residual data identification can include applying the classifier to identify residual data instances in the second unlabeled data set.

主权项

1. A non-transitory machine-readable medium storing instructions for residual data identification executable by a machine to cause the machine to:
receive a plurality of data instances in a multi-class training data set that are labeled as belonging to recognized categories; receive a plurality of data instances in a first unlabeled data set; label the plurality of data instances in the multi-class training data set as negative data instances; label the plurality of data instances in the first unlabeled data set as positive data instances; train a classifier with the labeled negative data instances and the labeled positive data instances; receive a plurality of data instances in a second unlabeled data set; and apply the classifier to identify residual data instances in the second unlabeled data set.