JPWO2020255301A1 - - Google Patents

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Publication number
JPWO2020255301A1
JPWO2020255301A1 JP2021528539A JP2021528539A JPWO2020255301A1 JP WO2020255301 A1 JPWO2020255301 A1 JP WO2020255301A1 JP 2021528539 A JP2021528539 A JP 2021528539A JP 2021528539 A JP2021528539 A JP 2021528539A JP WO2020255301 A1 JPWO2020255301 A1 JP WO2020255301A1
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JP
Japan
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JP2021528539A
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JP7268731B2 (ja
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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/02—Knowledge representation; Symbolic representation
    • G06N5/022—Knowledge engineering; Knowledge acquisition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G06N3/0455—Auto-encoder networks; Encoder-decoder networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Data Mining & Analysis (AREA)
  • Computing Systems (AREA)
  • Computational Linguistics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Evolutionary Computation (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Image Analysis (AREA)
JP2021528539A 2019-06-19 2019-06-19 学習データ生成装置、学習装置、学習データ生成方法、及び学習データ生成プログラム Active JP7268731B2 (ja)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2019/024326 WO2020255301A1 (ja) 2019-06-19 2019-06-19 学習データ生成装置、学習装置、学習データ生成方法、及び学習データ生成プログラム

Publications (2)

Publication Number Publication Date
JPWO2020255301A1 true JPWO2020255301A1 (ja) 2020-12-24
JP7268731B2 JP7268731B2 (ja) 2023-05-08

Family

ID=74040322

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2021528539A Active JP7268731B2 (ja) 2019-06-19 2019-06-19 学習データ生成装置、学習装置、学習データ生成方法、及び学習データ生成プログラム

Country Status (3)

Country Link
US (1) US20220366271A1 (ja)
JP (1) JP7268731B2 (ja)
WO (1) WO2020255301A1 (ja)

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2019040335A (ja) * 2017-08-24 2019-03-14 三菱電機インフォメーションシステムズ株式会社 教師データを生成する方法、学習済みモデルを生成する方法、学習済みモデル、コンピュータおよびプログラム

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2019040335A (ja) * 2017-08-24 2019-03-14 三菱電機インフォメーションシステムズ株式会社 教師データを生成する方法、学習済みモデルを生成する方法、学習済みモデル、コンピュータおよびプログラム

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
GANIN,YAROSLAV ほか: "Domain-Adversarial Training of Neural Networks", ARXIV[ONLINE], JPN6019004609, 26 May 2016 (2016-05-26), US, pages 1 - 35, XP002789597, ISSN: 0004905187, DOI: 10.1007/978-3-319-58347-1_10 *

Also Published As

Publication number Publication date
JP7268731B2 (ja) 2023-05-08
US20220366271A1 (en) 2022-11-17
WO2020255301A1 (ja) 2020-12-24

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