JP7292270B2 - ニューラルネットワークの使用 - Google Patents

ニューラルネットワークの使用 Download PDF

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JP7292270B2
JP7292270B2 JP2020521431A JP2020521431A JP7292270B2 JP 7292270 B2 JP7292270 B2 JP 7292270B2 JP 2020521431 A JP2020521431 A JP 2020521431A JP 2020521431 A JP2020521431 A JP 2020521431A JP 7292270 B2 JP7292270 B2 JP 7292270B2
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neural network
similarity
determining
neurons
inputs
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JP2020537787A (ja
JP2020537787A5 (enExample
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ヴラド メンコフスキ
アシフ ラーマン
カロライン デニス フランソワーズ レイノー
ブライアン コンロイ
ディミトロス マヴリュードゥス
エリック ブレシュ
デン フーベル テウン ファン
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Koninklijke Philips NV
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    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/23—Clustering techniques
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/285—Selection of pattern recognition techniques, e.g. of classifiers in a multi-classifier system
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Artificial Intelligence (AREA)
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  • General Health & Medical Sciences (AREA)
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  • Biomedical Technology (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Medical Informatics (AREA)
  • Image Analysis (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
JP2020521431A 2017-10-19 2018-10-16 ニューラルネットワークの使用 Active JP7292270B2 (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
EP17290131.6 2017-10-19
EP17290131.6A EP3474192A1 (en) 2017-10-19 2017-10-19 Classifying data
PCT/EP2018/078191 WO2019076866A1 (en) 2017-10-19 2018-10-16 USE OF A NEURONAL NETWORK

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JP2020537787A JP2020537787A (ja) 2020-12-24
JP2020537787A5 JP2020537787A5 (enExample) 2021-11-25
JP7292270B2 true JP7292270B2 (ja) 2023-06-16

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US (1) US11468323B2 (enExample)
EP (2) EP3474192A1 (enExample)
JP (1) JP7292270B2 (enExample)
CN (1) CN111512322B (enExample)
WO (1) WO2019076866A1 (enExample)

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US20200125924A1 (en) * 2018-10-22 2020-04-23 Siemens Aktiengesellschaft Method and system for analyzing a neural network
US20220197691A1 (en) * 2019-04-09 2022-06-23 Sony Group Corporation Information processing apparatus, information processing method, and program
US11687730B1 (en) 2019-05-21 2023-06-27 Asapp, Inc. Automated conversation goal discovery using neural networks and deep multi-view clustering
DE102019209463A1 (de) * 2019-06-27 2020-12-31 Robert Bosch Gmbh Verfahren zur Bestimmung eines Vertrauenswertes eines Objektes einer Klasse
US11783201B2 (en) * 2020-01-23 2023-10-10 International Business Machines Corporation Neural flow attestation
JP7374829B2 (ja) * 2020-03-24 2023-11-07 株式会社東芝 ニューラルネット解析装置、ニューラルネット解析方法及びプログラム
CN111539947B (zh) * 2020-04-30 2024-03-29 上海商汤智能科技有限公司 图像检测方法及相关模型的训练方法和相关装置、设备
DE102020206059A1 (de) * 2020-05-13 2021-11-18 Siemens Healthcare Gmbh Computerimplementiertes Verfahren und System zum Trainieren eines Auswertungsalgorithmus, Computerprogramm und elektronisch lesbarer Datenträger
DE102020213830A1 (de) 2020-11-03 2022-05-05 Volkswagen Aktiengesellschaft Verfahren und System zur Bereitstellung einer Diagnoseinformation
KR102888785B1 (ko) 2020-12-24 2025-11-24 삼성디스플레이 주식회사 신경망 처리 장치
US11521639B1 (en) 2021-04-02 2022-12-06 Asapp, Inc. Speech sentiment analysis using a speech sentiment classifier pretrained with pseudo sentiment labels
US11763803B1 (en) 2021-07-28 2023-09-19 Asapp, Inc. System, method, and computer program for extracting utterances corresponding to a user problem statement in a conversation between a human agent and a user
US12067363B1 (en) 2022-02-24 2024-08-20 Asapp, Inc. System, method, and computer program for text sanitization
KR20240158983A (ko) * 2022-03-15 2024-11-05 바이엘 헬쓰케어 엘엘씨 인공 지능을 이용하여 자동화된 건강관리 데이터 애플리케이션들을 관리하기 위한 시스템, 방법 및 컴퓨터 프로그램 제품
CN115676547B (zh) * 2022-11-02 2025-08-01 太原科技大学 一种基于一维多尺度卷积的多传感器曳引机失磁监测方法

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JP2001051969A (ja) 1999-08-13 2001-02-23 Kdd Corp 正誤答判定機能を有するニューラルネットワーク手段

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JP2000132554A (ja) 1998-10-21 2000-05-12 Sharp Corp 画像検索装置および画像検索方法
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EP3698285A1 (en) 2020-08-26
CN111512322B (zh) 2024-03-08
JP2020537787A (ja) 2020-12-24
WO2019076866A1 (en) 2019-04-25
US20200242470A1 (en) 2020-07-30
US11468323B2 (en) 2022-10-11
CN111512322A (zh) 2020-08-07
EP3474192A1 (en) 2019-04-24

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