Selection method, selection apparatus, and recording medium
AssigneeFujitsu Limited
InventorYuji Mizobuchi
Life of this patent
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Abstract
A selection method executed by a processor included in a selection apparatus, the selection method includes when plurality of pieces of data are each determined as one of multiple determination candidates by using a learning model, calculating, for each of the plurality of pieces of data, a deviation index indicating a degree of uncertainty of a determination result obtained by using the learning model with respect to each of the multiple determination candidates; and when the learning model is updated, responsively selecting a particular unit of data targeted for redetermination to be performed by using the updated learning model from the plurality of pieces of data in accordance with the deviation index.
Claims6
A selection method executed by a processor included in a selection apparatus, the selection method comprising:
- when a plurality of pieces of data are each determined as one of a plurality of determination candidates by using a learning model, calculating, for each of the plurality of pieces of data, a deviation index indicating a degree of uncertainty of a determination result obtained by using the learning model with respect to each of the plurality of determination candidates;
- and
- when the learning model is updated, selecting a particular piece of data targeted for redetermination to be performed by using the updated learning model from the plurality of pieces of data in accordance with the deviation index.
A selection apparatus comprising:
- a memory;
- and
- a processor coupled to the memory and configured to:
- when plurality of pieces of data are each determined as one of multiple determination candidates by using a learning model, calculate, for each of the plurality of pieces of data, a deviation index indicating a degree of uncertainty of a determination result obtained by using the learning model with respect to each of the multiple determination candidates, and
- when the learning model is updated, responsively select a particular unit of data targeted for redetermination to be performed by using the updated learning model from the plurality of pieces of data in accordance with the deviation index.
A non-transitory computer-readable recording medium storing a program that causes a processor included in a selection apparatus to execute a process, the process comprising:
- when plurality of pieces of data are each determined as one of multiple determination candidates by using a learning model, calculating, for each of the plurality of pieces of data, a deviation index indicating a degree of uncertainty of a determination result obtained by using the learning model with respect to each of the multiple determination candidates;
- and
- when the learning model is updated, responsively selecting a particular unit of data targeted for redetermination to be performed by using the updated learning model from the plurality of pieces of data in accordance with the deviation index.
Dependencies are inferred from the claim text.