MX2018008104A - Identificacion de entidades utilizando un modelo de aprendizaje profundo. - Google Patents

Identificacion de entidades utilizando un modelo de aprendizaje profundo.

Info

Publication number
MX2018008104A
MX2018008104A MX2018008104A MX2018008104A MX2018008104A MX 2018008104 A MX2018008104 A MX 2018008104A MX 2018008104 A MX2018008104 A MX 2018008104A MX 2018008104 A MX2018008104 A MX 2018008104A MX 2018008104 A MX2018008104 A MX 2018008104A
Authority
MX
Mexico
Prior art keywords
entities
learning model
deep
user
deep learning
Prior art date
Application number
MX2018008104A
Other languages
English (en)
Spanish (es)
Inventor
e weston Jason
Adams Keith
chopra Sumit
Original Assignee
Facebook Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Facebook Inc filed Critical Facebook Inc
Publication of MX2018008104A publication Critical patent/MX2018008104A/es

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Classifications

    • 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
    • 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
    • G06N3/042—Knowledge-based neural networks; Logical representations of neural networks
    • 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
    • G06N3/09—Supervised learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION 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
    • G06Q10/00—Administration; Management
    • G06Q10/40—Business processes related to social networking or social networking services
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION 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
    • G06Q10/00—Administration; Management
    • G06Q10/40—Business processes related to social networking or social networking services
    • G06Q10/42—Determination of affinities or common interests between users
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION 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
    • G06Q10/00—Administration; Management
    • G06Q10/40—Business processes related to social networking or social networking services
    • G06Q10/48—Business processes related to social networking or social networking services using social graphs
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
    • H04L51/52—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail for supporting social networking services

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Evolutionary Computation (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Tourism & Hospitality (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Economics (AREA)
  • General Business, Economics & Management (AREA)
  • Strategic Management (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Marketing (AREA)
  • Human Resources & Organizations (AREA)
  • Medical Informatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Information Transfer Between Computers (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Machine Translation (AREA)
MX2018008104A 2015-12-30 2016-02-18 Identificacion de entidades utilizando un modelo de aprendizaje profundo. MX2018008104A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US14/984,956 US10402750B2 (en) 2015-12-30 2015-12-30 Identifying entities using a deep-learning model
PCT/US2016/018367 WO2017116488A1 (en) 2015-12-30 2016-02-18 Identifying entities using a deep-learning model

Publications (1)

Publication Number Publication Date
MX2018008104A true MX2018008104A (es) 2018-08-23

Family

ID=59225437

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2018008104A MX2018008104A (es) 2015-12-30 2016-02-18 Identificacion de entidades utilizando un modelo de aprendizaje profundo.

Country Status (10)

Country Link
US (2) US10402750B2 (https=)
JP (1) JP6689389B2 (https=)
KR (1) KR20180099812A (https=)
CN (1) CN108604315B (https=)
AU (1) AU2016380683A1 (https=)
BR (1) BR112018013550A2 (https=)
CA (1) CA3009157A1 (https=)
IL (1) IL260165A (https=)
MX (1) MX2018008104A (https=)
WO (1) WO2017116488A1 (https=)

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Also Published As

Publication number Publication date
CN108604315A (zh) 2018-09-28
BR112018013550A2 (en) 2018-12-04
IL260165A (en) 2018-07-31
JP2019506664A (ja) 2019-03-07
KR20180099812A (ko) 2018-09-05
WO2017116488A1 (en) 2017-07-06
JP6689389B2 (ja) 2020-04-28
US20190340538A1 (en) 2019-11-07
US20170193390A1 (en) 2017-07-06
AU2016380683A1 (en) 2018-08-16
CA3009157A1 (en) 2017-07-06
CN108604315B (zh) 2022-01-11
US10402750B2 (en) 2019-09-03

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