Information processing system, information processing method, and program
AssigneeSony Interactive Entertainment Inc.
InventorsShogo Sato, Tetsugo Inada, Hiroyuki Segawa
Life of this patent
Estimating the term…
Abstract
The accuracy of a machine learning model is improved while the maintenance of training data is facilitated. An information processing system outputs, on the basis of an output of a machine learning model being trained with training data when input data is received to the machine learning model as an input, reliability of the output for the input data, generates new training data on the basis of the input data in a case where the reliability satisfies a predetermined condition, and trains the machine learning model with the new training data.
Claims12
An information processing system comprising:
- a machine learning model trained with training data;
- reliability output means outputting, on a basis of an output of the machine learning model when input data is received as an input, reliability of the output for the input data;
- generation means generating new training data on a basis of the input data in a case where the reliability satisfies a predetermined condition;
- and
- learning control means training the machine learning model with the new training data.
An information processing method comprising:
- outputting, on a basis of an output of a machine learning model being trained with training data when input data is received as an input to the machine learning model, reliability of the output for the input data;
- generating new training data on a basis of the input data in a case where the reliability satisfies a predetermined condition;
- and
- training the machine learning model with the new training data.
A non-transitory, computer readable storage medium containing a program for causing a computer to execute a method by carrying out actions, comprising:
- outputting, on a basis of an output of a machine learning model being trained with training data when input data is received as an input to the machine learning model, reliability of the output for the input data;
- generating new training data on a basis of the input data in a case where the reliability satisfies a predetermined condition;
- and
- training the machine learning model with the new training data.
Dependencies are inferred from the claim text.