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Patent Searching and Data


Title:
LEARNING-FINISHED MODEL INTEGRATION METHOD, DEVICE, PROGRAM, IC CHIP, AND SYSTEM
Document Type and Number:
WIPO Patent Application WO/2019/026703
Kind Code:
A1
Abstract:
[Problem] To create a single learning-finished model by integrating multiple learning-finished models obtained by using a new machine learning framework having a tree structure [Solution] The present invention provides a learning-finished model integration method for integrating a plurality of different learning-finished models obtained by causing a learning model having a tree structure to learn a predetermined data group, the learning-finished model integration method being provided with: a data reading step in which data on the plurality of different learning-finished models is read from a predetermined storage unit; and an integrating step in which, with respect to respective nodes constituting the tree structure related to the plurality of different learning-finished models, the plurality of different learning-finished models are integrated into a single learning-finished model by duplicating a node when the node is present in only one learning-finished mode, and by integrating nodes when the corresponding nodes are respectively present at the positions corresponding to the plurality of learning-finished models.

Inventors:
KIM Chyon Hae (IWATE UNIVERSITY 3-18-8 Ueda, Morioka Cit, Iwate 50, 〒0208550, JP)
IDESAWA Junichi (Akasaka Meruku Building 1F 6-19-45 Akasaka, Minato-K, Tokyo 52, 〒1070052, JP)
SUGAWARA Shimon (Akasaka Meruku Building 1F 6-19-45 Akasaka, Minato-K, Tokyo 52, 〒1070052, JP)
Application Number:
JP2018/027774
Publication Date:
February 07, 2019
Filing Date:
July 24, 2018
Export Citation:
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Assignee:
AISING LTD. (9-1-7-424 Akasaka, Minato-Ku Tokyo, 52, 〒1070052, JP)
International Classes:
G06N99/00
Foreign References:
JP2016173686A2016-09-29
JP2016173686A2016-09-29
Other References:
KIM, C. H. ET AL., IPSJ SIG TECHNICAL REPORT, MATHEMATICAL MODELING AND PROBLEM SOLVING (MPS, vol. 2017 -MP, no. 25, February 2017 (2017-02-01), pages 1 - 5, ISSN: 2188-8833
OTANI, NORIKO ET AL., EXAMINATION OF PARTIAL SOLUTION IN SYMBIOTIC EVOLUTION FOR DECISION TREE GENERATION, IEICE TECHNICAL REPORT, vol. 103, no. 725, 9 March 2004 (2004-03-09), pages 101 - 106, ISSN: 0913-5685
IDESAWA ET AL.: "Japan first'' ''world first'' machine control AI, DeepBinaryTree:DBT, ''A machine learning algorithm that can be implemented on lightweight edge devices", LECTURE MATERIALS OF IOT TECHNOLOGY ADVANCEMENT COMMITTEE OF JAPAN EMBEDDED SYSTEMS TECHNOLOGY ASSOCIATION, 27 April 2018 (2018-04-27), pages 1 - 28, Retrieved from the Internet [retrieved on 20180906]
Attorney, Agent or Firm:
IIZUKA Shin-ichi et al. (IIZUKA INTERNATIONAL PATENT OFFICE, 4th Floor Keiodo Gyoen Bldg., 11-13, Shinjuku 1-chom, Shinjuku-ku Tokyo 22, 〒1600022, JP)
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