FR3069357B1 - Systeme d'apprentissage machine pour diverses applications informatiques - Google Patents

Systeme d'apprentissage machine pour diverses applications informatiques Download PDF

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Publication number
FR3069357B1
FR3069357B1 FR1756823A FR1756823A FR3069357B1 FR 3069357 B1 FR3069357 B1 FR 3069357B1 FR 1756823 A FR1756823 A FR 1756823A FR 1756823 A FR1756823 A FR 1756823A FR 3069357 B1 FR3069357 B1 FR 3069357B1
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Prior art keywords
hardware
machine learning
software arrangement
various computer
learning system
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FR3069357A1 (fr
Inventor
Olivier Caelen
Liyun He-Guelton
Pierre-Edouard Portier
Michael Granitzer
Konstantin Ziegler
Johannes Jurgovsky
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WORLDLINE
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WORLDLINE
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Priority to FR1756823A priority Critical patent/FR3069357B1/fr
Priority to PCT/EP2018/069176 priority patent/WO2019016106A1/fr
Priority to CN201880053753.5A priority patent/CN110998608B/zh
Priority to US16/632,267 priority patent/US11763137B2/en
Priority to EP18755710.3A priority patent/EP3655893A1/fr
Publication of FR3069357A1 publication Critical patent/FR3069357A1/fr
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/047Probabilistic or stochastic networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00Payment architectures, schemes or protocols
    • G06Q20/38Payment protocols; Details thereof
    • G06Q20/40Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
    • G06Q20/401Transaction verification
    • G06Q20/4016Transaction verification involving fraud or risk level assessment in transaction processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31User authentication
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/044Recurrent networks, e.g. Hopfield networks
    • G06N3/0442Recurrent networks, e.g. Hopfield networks characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/06Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/084Backpropagation, e.g. using gradient descent
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/09Supervised learning

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Artificial Intelligence (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Computational Linguistics (AREA)
  • Evolutionary Computation (AREA)
  • Computer Security & Cryptography (AREA)
  • Business, Economics & Management (AREA)
  • Accounting & Taxation (AREA)
  • Neurology (AREA)
  • Computer Hardware Design (AREA)
  • Probability & Statistics with Applications (AREA)
  • Finance (AREA)
  • Strategic Management (AREA)
  • General Business, Economics & Management (AREA)
  • Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
  • Collating Specific Patterns (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Machine Translation (AREA)
  • Testing And Monitoring For Control Systems (AREA)

Abstract

Il est mis à disposition un système d'apprentissage machine pour diverses applications informatiques permettant une fouille de texte pour la détection de défauts ou d'anomalies dans une authentification, transaction ou opération effectuée par l'application, comprenant : - un agencement matériel et logiciel formant un système de prétraitement ; - un agencement matériel et logiciel formant un réseau neuronal conduisant à un modèle de traitement de données enrichies agrégées, - un agencement matériel et logiciel pour l'injection de données enrichies agrégées dans le réseau neuronal, - un agencement matériel et logiciel pour valider l'opération ou transaction sur la base des résultats obtenus à la sortie du réseau neuronal.
FR1756823A 2017-07-18 2017-07-18 Systeme d'apprentissage machine pour diverses applications informatiques Active FR3069357B1 (fr)

Priority Applications (5)

Application Number Priority Date Filing Date Title
FR1756823A FR3069357B1 (fr) 2017-07-18 2017-07-18 Systeme d'apprentissage machine pour diverses applications informatiques
PCT/EP2018/069176 WO2019016106A1 (fr) 2017-07-18 2018-07-13 Systeme d'apprentissage machine pour diverses applications informatiques
CN201880053753.5A CN110998608B (zh) 2017-07-18 2018-07-13 用于各种计算机应用程序的机器学习系统
US16/632,267 US11763137B2 (en) 2017-07-18 2018-07-13 Machine learning system for various computer applications
EP18755710.3A EP3655893A1 (fr) 2017-07-18 2018-07-13 Systeme d'apprentissage machine pour diverses applications informatiques

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
FR1756823 2017-07-18
FR1756823A FR3069357B1 (fr) 2017-07-18 2017-07-18 Systeme d'apprentissage machine pour diverses applications informatiques

Publications (2)

Publication Number Publication Date
FR3069357A1 FR3069357A1 (fr) 2019-01-25
FR3069357B1 true FR3069357B1 (fr) 2023-12-29

Family

ID=60182698

Family Applications (1)

Application Number Title Priority Date Filing Date
FR1756823A Active FR3069357B1 (fr) 2017-07-18 2017-07-18 Systeme d'apprentissage machine pour diverses applications informatiques

Country Status (5)

Country Link
US (1) US11763137B2 (fr)
EP (1) EP3655893A1 (fr)
CN (1) CN110998608B (fr)
FR (1) FR3069357B1 (fr)
WO (1) WO2019016106A1 (fr)

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11829866B1 (en) * 2017-12-27 2023-11-28 Intuit Inc. System and method for hierarchical deep semi-supervised embeddings for dynamic targeted anomaly detection
CN110362494B (zh) * 2019-07-18 2021-06-15 腾讯科技(深圳)有限公司 微服务状态信息展示的方法、模型训练方法以及相关装置
US11899765B2 (en) 2019-12-23 2024-02-13 Dts Inc. Dual-factor identification system and method with adaptive enrollment
CN111123894B (zh) * 2019-12-30 2021-09-07 杭州电子科技大学 一种基于lstm和mlp结合的化工过程故障诊断方法
FR3109232A1 (fr) * 2020-04-10 2021-10-15 Advestis Procede de prediction interpretable par apprentissage fonctionnant sous ressources memoires limitees
JP6926279B1 (ja) * 2020-05-29 2021-08-25 楽天グループ株式会社 学習装置、認識装置、学習方法、認識方法、プログラム、及び再帰型ニューラルネットワーク
US11336507B2 (en) * 2020-09-30 2022-05-17 Cisco Technology, Inc. Anomaly detection and filtering based on system logs
US20220188837A1 (en) * 2020-12-10 2022-06-16 Jpmorgan Chase Bank, N.A. Systems and methods for multi-agent based fraud detection
CN112598118B (zh) * 2021-03-03 2021-06-25 成都晓多科技有限公司 有监督学习的标注异常处理方法、装置、存储介质及设备
CN113569993A (zh) * 2021-08-27 2021-10-29 浙江工业大学 一种聚合反应过程质量预测模型构建方法

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11205103B2 (en) * 2016-12-09 2021-12-21 The Research Foundation for the State University Semisupervised autoencoder for sentiment analysis
CN106600283A (zh) * 2016-12-16 2017-04-26 携程旅游信息技术(上海)有限公司 识别姓名国籍的方法、系统及判断交易风险的方法、系统
US10762423B2 (en) * 2017-06-27 2020-09-01 Asapp, Inc. Using a neural network to optimize processing of user requests

Also Published As

Publication number Publication date
US11763137B2 (en) 2023-09-19
CN110998608A (zh) 2020-04-10
WO2019016106A1 (fr) 2019-01-24
EP3655893A1 (fr) 2020-05-27
FR3069357A1 (fr) 2019-01-25
US20200257964A1 (en) 2020-08-13
CN110998608B (zh) 2024-02-20

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