FIELD: physics.
SUBSTANCE: invention relates to computer engineering. Technical result is achieved by the processor determining the consistency metric among the results from said plurality of results, indicating the posterior probability, that the result provided by the majority of the plurality of electronic devices is the correct result for the given digital task; based on the plurality of results, the processor determining the set of electronic devices from the plurality of electronic devices such that the consistency metric among the results provided by said set of said electronic devices for a given digital task, was maximum, by excluding from the plurality of electronic devices at least one of the electronic devices which provided results different from the results provided by most of the plurality of electronic devices; transmitting, by the processor, the next digital task to the corresponding said electronic devices associated with said at least one set of said electronic devices; and the processor generating training data for the computer-executable MLA, including data generated in response to the following digital task execution by corresponding electronic devices from said set of electronic devices.
EFFECT: high accuracy of generating training data for a machine learning algorithm.
20 cl, 7 dwg
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Authors
Dates
2024-05-22—Published
2021-03-15—Filed