A method and system for transfer learning of the Internet of Things
A technology of transfer learning and Internet of Things, which is applied in the field of machine learning and transfer learning to achieve the effect of reducing the cost of manual labeling
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[0038] The core content of the present invention is to automatically find and discover the advantageous ability sample groups in the learner's characteristic domain relative to the professor's perception node in the scenario of the migration of the Internet of Things, and further divide them into several advantageous ability groups. The representative samples of each dominant ability group are marked in a semi-supervised manner, and semi-labeled modification is performed on all learner sample data sets, so that learners can specify their dominant ability samples, and then in their dominant ability. The sample label has a labeling accuracy that is higher than the professor's ability to identify. The learner pattern recognition model trained by this method can have the ability to distinguish the confusion pattern of the teacher's perception node.
[0039] The pattern recognition ability of the professor node is limited, and some patterns in the sample set cannot be correctly ide...
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