Individualized machine learning algorithms
AssigneeHarman Becker Automotive Systems GmbH
InventorsMiloš MARKOVIC, Friedrich VON TÜRCKHEIM, Gleni LAMANI
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Abstract
Techniques for determining, individualizing, or personalizing a machine-learning (ML) algorithm are disclosed. The determining, individualizing, or personalizing of the ML algorithm may be executed by either a system comprising a server and a client/user device or a standalone computing device by performing a method. The method comprises obtaining, from a user, one or more configuration requirements associated with the ML algorithm. The method further comprises determining the ML algorithm based on the one or more configuration requirements.
Claims20
A computer-implemented method, comprising:
- obtaining, from a user, one or more configuration requirements associated with a machine-learning (ML) algorithm;
- and
- determining the ML algorithm based on the one or more configuration requirements.
One or more non-transitory computer-readable media storing instructions that, when executed by one or more processors, cause the one or more processors to perform the steps of:
- obtaining, from a user, one or more configuration requirements associated with a machine-learning (ML) algorithm;
- and
- determining the ML algorithm based on the one or more configuration requirements.
A system comprising:
- memory storing instructions;
- and
- one or more processors that, when executing the instructions, are configured to perform steps comprising;
- presenting a user interface, wherein a user inputs, via the user interface, one or more configuration requirements associated with a machine-learning (ML) algorithm;
- obtaining the one or more configuration requirements from the user interface;
- and
- determining the ML algorithm based on the one or more configuration requirements.
Dependencies are inferred from the claim text.