Title:
INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND INFORMATION PROVIDING METHOD
Document Type and Number:
WIPO Patent Application WO/2017/175434
Kind Code:
A1
Abstract:
[Problem] To provide a technology capable of reducing the time required to select a learning setting.
[Solution] Provided is an information processing device provided with: a data acquisition unit for acquiring, as a learning setting to be recommended to a user, a learning setting according to information relating to a past learning process of which the similarity with information relating to a learning process specified by the user is higher than a predetermined similarity; and a display control unit for controlling a display according to the learning setting to be recommended.
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Inventors:
TAKAMATSU SHINGO (JP)
FUKUI AKIRA (JP)
IDE NAOKI (JP)
OOBUCHI YUKIO (JP)
KOBAYASHI YOSHIYUKI (JP)
FUKUI AKIRA (JP)
IDE NAOKI (JP)
OOBUCHI YUKIO (JP)
KOBAYASHI YOSHIYUKI (JP)
Application Number:
PCT/JP2017/000441
Publication Date:
October 12, 2017
Filing Date:
January 10, 2017
Export Citation:
Assignee:
SONY CORP (JP)
International Classes:
G06N3/08; G06F17/30
Foreign References:
| JPH06124196A | 1994-05-06 | |||
| JP2001067223A | 2001-03-16 |
Other References:
SMITH, MICHAEL R. ET AL.: "Recommending Learning Algorithms and Their Associated Hyperparameters", 7 July 2014 (2014-07-07), pages 1 - 2, XP055429064, Retrieved from the Internet [retrieved on 20170202]
SMITH, MICHAEL R. ET AL., AN EASY TO USE REPOSITORY FOR COMPARING AND IMPROVING MACHINE LEARNING ALGORITHM USAGE, 5 June 2014 (2014-06-05), pages 1 - 7, XP055429070, Retrieved from the Internet [retrieved on 20170202]
FEURER, MATTHIAS ET AL.: "Initializing Bayesian Hyperparameter Optimization via Meta-Learning,", PROCEEDINGS OF THE TWENTY-NINTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 16 February 2015 (2015-02-16), pages 1128 - 1135, XP055429085, Retrieved from the Internet [retrieved on 20170202]
See also references of EP 3441912A4
SMITH, MICHAEL R. ET AL., AN EASY TO USE REPOSITORY FOR COMPARING AND IMPROVING MACHINE LEARNING ALGORITHM USAGE, 5 June 2014 (2014-06-05), pages 1 - 7, XP055429070, Retrieved from the Internet
FEURER, MATTHIAS ET AL.: "Initializing Bayesian Hyperparameter Optimization via Meta-Learning,", PROCEEDINGS OF THE TWENTY-NINTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 16 February 2015 (2015-02-16), pages 1128 - 1135, XP055429085, Retrieved from the Internet
See also references of EP 3441912A4
Attorney, Agent or Firm:
KAMEYA, Yoshiaki et al. (JP)
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