Information processing method, information processing system, and recording medium

An information processing system comprising:

• a first inferrer that obtains a first inference result by inputting data into a first inference model;
• a second inferrer that obtains a second inference result by inputting the data into a second inference model;
• and
• a trainer that trains the second inference model by machine learning to reduce an error calculated from the first inference result and the second inference result, wherein
• the second inference model includes (a) a first coefficient used for inference by the second inference model, the first coefficient pertaining to a domain of input data input to the second inference model, and (b) a second coefficient used for inference by the second inference model, the second coefficient being a coefficient other than the first coefficient, and
• the information processing system further comprises a controller that causes the trainer to, in the training:
• (a) determine whether a predetermined condition associated with convergence of the first coefficient is satisfied;
• (b) when it is determined that the predetermined condition is not satisfied, train the second inference model with the first coefficient and the second coefficient designated as targets for an update;
• and
• (c) when it is determined that the predetermined condition is satisfied, train the second inference model with, of the first coefficient and the second coefficient, the second coefficient alone designated as a target for an update.