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Patent Searching and Data


Title:
COMPUTER SYSTEM AND METHOD FOR MACHINE LEARNING OR INFERENCE
Document Type and Number:
WIPO Patent Application WO/2019/003485
Kind Code:
A1
Abstract:
The purpose of the present invention is to train a learning model and thereby create a utility model, and assist with an operation for making practical use thereof. Provided is a computer system 50 for preparing learning models in one or more learning units 102; receiving an input of learning data from a data source 111, and training said one or more learning models using the learning data. One or more utility models are finalized on the basis of said one or more trained learning models, and said one or more utility models are deployed to one or more inference units 114. Each of said one or more inference units 114: receives an input of utility data from the data source 111; provides the utility data to the utility models and executes an inference; and transmits, to a data target 113, inference result data outputted from the utility models.

Inventors:
OKADA YOUSUKE (JP)
OGATA TAKANORI (JP)
KAWASAKI TOSHIYA (JP)
TERAMOTO TAKUMA (JP)
Application Number:
PCT/JP2018/003824
Publication Date:
January 03, 2019
Filing Date:
February 05, 2018
Export Citation:
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Assignee:
ABEJA INC (JP)
International Classes:
G06N99/00; G06F8/60; G06F9/455; G06Q10/06
Domestic Patent References:
WO2015179778A12015-11-26
Foreign References:
US20170178019A12017-06-22
US9058317B12015-06-16
JP2015166975A2015-09-24
JP2016062361A2016-04-25
JP2016143354A2016-08-08
Other References:
KASHIMA, HISASHI; KAJINO, HIROSHI.: "Crowdsourcing and machine learning", JOURNAL OF JAPANESE SOCIETY FOR ARTIFICIAL INTELLIGENCE, vol. 27, no. 4, 2012, pages 381 - 388, ISSN: 0912-8085
MIZUSAWA, KEN ET AL.: "(non-official translation) Proposal for an execution plan processing system for crowdsourcing environment", March 2017 (2017-03-01), Retrieved from the Internet [retrieved on 20170706]
Attorney, Agent or Firm:
WILLFORT INTERNATIONAL PATENT FIRM (JP)
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