Learning device, learning method, and learning program
AssigneeNippon Telegraph and Telephone Corporation
InventorsAtsunori Ogawa, Marc Delcroix, Shigeki Karita, Tomohiro Nakatani
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Abstract
A learning device includes a memory, and processing circuitry coupled to the memory and configured to receive an input of a plurality of series for learning having known accuracy, and learn a model represented by a neural network, the model being capable of determining accuracy levels of two series when given feature amounts of the two series among the plurality of series.
Claims15
A learning device comprising:
- a memory;
- and
- processing circuitry coupled to the memory and configured to:
- receive an input of a plurality of series for learning having known accuracy, and
- learn a model represented by a neural network, the model determining accuracy levels of two series of the plurality of series based on a one-to-one comparison between the two series when given feature amounts of the two series among the plurality of series, one of the two series of the plurality of series being a series estimated to have a highest accuracy of the plurality of series after repeated one-to-one comparisons among the plurality of series.
A learning method that is performed by a learning device, the learning method comprising:
- receiving an input of a plurality of series for learning having known accuracy;
- and
- learning a model represented by a neural network, a model determining accuracy levels of two series of the plurality of series based on a one-to-one comparison between the two series when given feature amounts of the two series among the plurality of series, one of the two series of the plurality of series being a series estimated to have a highest accuracy of the plurality of series after repeated one-to-one comparisons among the plurality of series.
A non-transitory computer-readable recording medium storing therein a learning program that causes a computer to execute a process comprising:
- receiving an input of a plurality of series for learning having known accuracy;
- and
- learning a model represented by a neural network, the model determining accuracy levels of two series of the plurality of series based on a one-to-one comparison between two series when given feature amounts of the two series among the plurality of series, one of the two series of the plurality of series being a series estimated to have a highest accuracy of the plurality of series after repeated one-to-one comparisons among the plurality of series.
Dependencies are inferred from the claim text.