US 11,983,633 B2
Machine learning predictions by generating condition data and determining correct answers
Yuzuru Okajima, Tokyo (JP); and Kunihiko Sadamasa, Tokyo (JP)
Assigned to NEC CORPORATION, Tokyo (JP)
Appl. No. 16/976,648
Filed by NEC CORPORATION, Tokyo (JP)
PCT Filed Mar. 1, 2018, PCT No. PCT/JP2018/007888
§ 371(c)(1), (2) Date Aug. 28, 2020,
PCT Pub. No. WO2019/167240, PCT Pub. Date Sep. 6, 2019.
Prior Publication US 2020/0410361 A1, Dec. 31, 2020
Int. Cl. G06N 3/08 (2023.01); G06F 17/18 (2006.01); G06F 18/24 (2023.01); G06F 18/25 (2023.01); G06N 3/084 (2023.01); G06V 10/764 (2022.01)
CPC G06N 3/084 (2013.01) [G06F 17/18 (2013.01); G06F 18/24765 (2023.01); G06F 18/251 (2023.01); G06V 10/764 (2022.01); G06V 10/765 (2022.01)] 15 Claims
OG exemplary drawing
 
1. An information processing apparatus comprising:
at least one memory configured to store instructions; and
at least one processor configured to execute the instructions to perform operations comprising:
acquiring input data;
generating, by use of a neural network, condition data that indicate one or more conditions satisfied by the input data;
determining, as prediction data associated with the input data, a value determined based on correct answer data associated with example data that satisfy at least a part of the one or more conditions indicated by the condition data; and
updating a parameter of the neural network, wherein
a plurality of candidate conditions that are candidates of conditions to be included in the condition data are defined,
the prediction data associated with the input data is determined by acquiring, from a storage apparatus storing a plurality of the prediction data in respective a plurality of combinations of one or more candidate conditions of the plurality of candidate conditions, the prediction data associated with a combination of candidate conditions included in the generated condition data.