CPC G06N 3/088 (2013.01) [G06N 3/045 (2023.01)] | 20 Claims |
1. A method for classifying data, the method comprising:
training a data classification model using training data that includes at least one class, the trained data classification model being configured to identify the at least one class;
receiving additional data including samples of at least one additional class, the at least one additional class not contained in the training data; and
retraining the trained data classification model using a synthetic classified dataset associated with the additional data, the retrained data classification model being configured to identify the at least one additional class.
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