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US 2022/0101137 A1Published application
Learning device, extraction device, learning method, extraction method, learning program, and extraction program
AssigneeNTT Communications Corporation
InventorsKeisuke KIRITOSHI, Tomonori IZUMITANI, Ryosuke TANNO
Life of this patent
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Abstract
A learning device includes processing circuitry configured to collect a plurality of data, calculate, when inputting the plurality of data as input data to a model and obtaining output data that is output from the model, an attribution that is a degree of contribution of each element of the input data to the output data, based on the input data and the output data, and apply a restriction on the attribution thereto and learn the model.
Claims9
A learning device comprising:
- processing circuitry configured to:
- collect a plurality of data;
- calculate, when inputting the plurality of data as input data to a model and obtaining output data that is output from the model, an attribution that is a degree of contribution of each element of the input data to the output data, based on the input data and the output data;
- and
- apply a restriction on the attribution thereto and learn the model.
2 more elements
An extraction device comprising:
- processing circuitry configured to:
- collect a plurality of data;
- calculate, when inputting the plurality of data as input data to a model and obtaining output data that is output from the model, an attribution that is a degree of contribution of each element of the input data to the output data, based on the input data and the output data;
- apply a restriction on the attribution thereto and learn the model;
- and
- extract, when inputting input data to a learned model that has been learned and obtaining output data that is output from the learned model, an attribution of each element of the input data to the output data, based on the input data and the output data.
3 more elements
A learning method comprising:
- collecting a plurality of data;
- calculating, when inputting the plurality of data as input data to a model and obtaining output data that is output from the model, an attribution that is a degree of contribution of each element of the input data to the output data, based on the input data and the output data;
- and
- applying a restriction on the attribution thereto and learning the model, by processing circuitry.
1 more element
An extraction method comprising:
- collecting a plurality of data;
- calculating, when inputting the plurality of data as input data to a model and obtaining output data that is output from the model, an attribution that is a degree of contribution of each element of the input data to the output data, based on the input data and the output data;
- applying a restriction on the attribution thereto and learning the model, by processing circuitry;
- and
- extracting, when inputting input data to a learned model that has been learned and obtaining output data that is output from the learned model, an attribution of each element of the input data to the output data, based on the input data and the output data.
2 more elements
Dependencies are inferred from the claim text.