	US 12,112,245 B2
	Information processing apparatus and information processing method
Takuya Narihira, Tokyo (JP)
Assigned to Sony Corporation, Tokyo (JP)
Appl. No. 17/254,213
Filed by Sony Corporation, Tokyo (JP)
PCT Filed Jun. 25, 2019, PCT No. PCT/JP2019/025114 § 371(c)(1), (2) Date Dec. 18, 2020, PCT Pub. No. WO2020/004375, PCT Pub. Date Jan. 2, 2020.
Claims priority of application No. 2018-124085 (JP), filed on Jun. 29, 2018.
Prior Publication US 2021/0272020 A1, Sep. 2, 2021
Int. Cl. G06N 20/00 (2019.01); G06F 16/9035 (2019.01); G06F 18/213 (2023.01); G06F 18/214 (2023.01); G06F 18/23 (2023.01); G06N 7/01 (2023.01); G06V 20/56 (2022.01); G06V 20/59 (2022.01); G08G 1/01 (2006.01); G08G 1/13 (2006.01)

CPC G06N 20/00 (2019.01) [G06F 18/214 (2023.01); G06F 18/23 (2023.01); G06V 20/597 (2022.01); G06F 16/9035 (2019.01); G06F 18/213 (2023.01); G06N 7/01 (2023.01); G06V 20/588 (2022.01); G06V 20/59 (2022.01); G08G 1/01 (2013.01); G08G 1/13 (2013.01)]

9 Claims

1. An information processing apparatus comprising:

processing circuitry configured to:

acquire collected parameters; and

select a reference model recommended depending on a situation on a basis of a model extracted on a basis of the collected parameters, wherein the reference model is selected from a plurality of models, wherein the processing circuitry is configured to select the reference model on a basis of the plurality of models extracted on the basis of the collected parameters and a selection model for selecting the plurality of models, and wherein the selection model corresponds to a hidden element obtained at a time of learning.