Methods for selecting training data to be annotated
AssigneesRobert Bosch GmbH, Cariad SE
InventorAlexander Kugele
Life of this patent
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Abstract
The invention relates to a method (100) for selecting training data to be annotated for training a machine learning system (60) in active learning, which comprises performing the following steps in an automated manner: providing (101) an output of a machine learning system (60) which has been trained on the basis of first annotated training data, providing (102) further training data to be annotated for further training of the machine learning system (60), providing (103) statistical information on the first annotated training data and/or the further training data and/or the provided output, selecting (104) the training data to be annotated from the further training data on the basis of the provided statistical information.
Claims13
A method for selecting training data to be annotated for training a machine learning system in active learning, which comprises performing the following steps in an automated manner:
- providing an output of a machine learning system which has been trained on a basis of first annotated training data,
- providing further training data to be annotated for further training of the machine learning system,
- providing statistical information on the first annotated training data and/or the further training data and/or the provided output,
- selecting the training data to be annotated from the further training data on the basis of the provided statistical information.
(canceled)
A device for data processing comprising:
- at least one processor;
- and
- a tangible, non-transitory computer-readable storage medium comprising commands, which when executed by the at least one processor cause the at least one processor to:
- provide an output of a machine learning system which has been trained on a basis of first annotated training data,
- provide further training data to be annotated for further training of the machine learning system,
- provide statistical information on the first annotated training data and/or the further training data and/or the provided output, and
- select the training data to be annotated from the further training data on the basis of the provided statistical information.
A tangible, non-transitory computer-readable storage medium, comprising commands, which when executed by at least one computer, cause the computer to:
- provide an output of a machine learning system which has been trained on a basis of first annotated training data;
- provide further training data to be annotated for further training of the machine learning system;
- provide statistical information on the first annotated training data and/or the further training data and/or the provided output;
- and
- select the training data to be annotated from the further training data on the basis of the provided statistical information.
Dependencies are inferred from the claim text.