US Patent Application 18013759. MACHINE LEARNING APPARATUS, MACHINE LEARNING METHOD AND COMPUTER-READABLE STORAGE MEDIUM simplified abstract
MACHINE LEARNING APPARATUS, MACHINE LEARNING METHOD AND COMPUTER-READABLE STORAGE MEDIUM
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MACHINE LEARNING APPARATUS, MACHINE LEARNING METHOD AND COMPUTER-READABLE STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18013759 titled 'MACHINE LEARNING APPARATUS, MACHINE LEARNING METHOD AND COMPUTER-READABLE STORAGE MEDIUM
Simplified Explanation
The patent application describes a machine learning apparatus that includes multiple inference units and a classifier.
- The inference units are machine learning models trained using training data.
- The classifier is responsible for classifying input data and generating output data.
- When the output data of the classifier is a specific value (referred to as the first value), a specific inference unit (referred to as the first inference unit) performs inference based on the input data.
- Other inference units, apart from the first inference unit, are trained using the input data (which has the first value as the output data of the classifier) as the training data.
Original Abstract Submitted
A machine learning apparatus according to the embodiment including: n (n is an integer greater than or equal to 2) inference units which are machine learning models trained using training data; and a classifier configured to classify an input data and to output an output data. A first inference unit from among the n inference units performs inference based on the input data when the output data of the classifier is a first value. At least one inference unit other than the first inference unit is trained using the input data when the output data of the classifier is the first value as the training data.
