Device and computer-implemented process for data-efficient active machine learning

摘要

Device and computer-implemented process for data-efficient active machine learning, providing recorded data (206),where a model is trained to classify the data according to the data recorded (208),where the model so trained is calibrated by the model depending on the data recorded in relation to a confidence for a correctness of the classification of the data recorded (210),where, for non-annotated data, the model so calibrated determines the confidence for the correctness of the classification of the non-annotated data (212),and where non-recorded data are used to acquire non-recorded data for active mechanical learning (212),whose confidence fulfils a criterion.