Invention Grant
- Patent Title: Method for selecting learned model corresponding to sensing data and provisioning selected learned model, and learned model provision device
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Application No.: US16097998Application Date: 2017-12-11
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Publication No.: US10803407B2Publication Date: 2020-10-13
- Inventor: Yuichi Matsumoto , Masataka Sugiura
- Applicant: PANASONIC INTELLECTUAL PROPERTY MANAGEMENT CO., LTD.
- Applicant Address: JP Osaka
- Assignee: PANASONIC INTELLECTUAL PROPERTY MANAGEMENT CO., LTD.
- Current Assignee: PANASONIC INTELLECTUAL PROPERTY MANAGEMENT CO., LTD.
- Current Assignee Address: JP Osaka
- Agency: Greenblum & Bernstein, P.L.C.
- Priority: com.zzzhc.datahub.patent.etl.us.BibliographicData$PriorityClaim@486b9544
- International Application: PCT/JP2017/044296 WO 20171211
- International Announcement: WO2018/142765 WO 20180809
- Main IPC: G06N20/00
- IPC: G06N20/00 ; H04L29/06 ; H04L29/08 ; G06K9/62 ; G06Q30/06

Abstract:
A method for selectively providing a learned model using a learned model providing device includes saving various learned models and model information associated with a generation environment in a database of the learned model providing device. The generation environment indicates an environment where sensing data used for generating each of the learned models is sensed. The method further includes acquiring needs information associated with a use environment of a user side device, and selecting one of the learned model suitable for the needs information by referring to the model information by a processor of the learned model providing device.
Public/Granted literature
- US20190147360A1 LEARNED MODEL PROVISION METHOD, AND LEARNED MODEL PROVISION DEVICE Public/Granted day:2019-05-16
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