Retraining trainable data classifiers

摘要

A method and apparatus is provided for retraining a trainable data classifier (for example, a neural network). Data provided for retraining the classifier is compared with training data previously used to train the classifier, and a measure of the degree of conflict between the new and old training data is calculated. This measure is compared with a predetermined threshold to determine whether the new data should be used in retraining the data classifier. New training data which is found to conflict with earlier data may be further reviewed manually for inclusion.