BR112017003023A2 - classificação enviesante de gráfico de conhecimento para dados - Google Patents

classificação enviesante de gráfico de conhecimento para dados

Info

Publication number
BR112017003023A2
BR112017003023A2 BR112017003023A BR112017003023A BR112017003023A2 BR 112017003023 A2 BR112017003023 A2 BR 112017003023A2 BR 112017003023 A BR112017003023 A BR 112017003023A BR 112017003023 A BR112017003023 A BR 112017003023A BR 112017003023 A2 BR112017003023 A2 BR 112017003023A2
Authority
BR
Brazil
Prior art keywords
knowledge graph
data
classification
bias classification
bias
Prior art date
Application number
BR112017003023A
Other languages
English (en)
Inventor
Jonathan Julian David
Blythe Towal Regan
Subhash Talathi Sachin
Majumdar Somdeb
Sreekanta Reddy Annapureddy Venkata
Original Assignee
Qualcomm 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 Qualcomm Inc filed Critical Qualcomm Inc
Publication of BR112017003023A2 publication Critical patent/BR112017003023A2/pt

Links

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
    • 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
    • G06N3/042—Knowledge-based neural networks; Logical representations of neural 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
    • G06N3/04—Architecture, e.g. interconnection topology
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/01—Probabilistic graphical models, e.g. probabilistic 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
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/049—Temporal neural networks, e.g. delay elements, oscillating neurons or pulsed inputs

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computing Systems (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Mathematical Physics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Computational Linguistics (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Probability & Statistics with Applications (AREA)
  • Algebra (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Image Analysis (AREA)

Abstract

trata-se de um método para classificar um objeto que inclui aplicar múltiplos valores de confiança a múltiplos objetos. o método também inclui determinar uma métrica com base nos múltiplos valores de confiança. o método inclui, ainda, determinar uma classificação de um primeiro objeto a partir de múltiplos objetos com base em um gráfico de conhecimento quando a métrica estiver acima de um limiar.
BR112017003023A 2014-08-19 2015-07-28 classificação enviesante de gráfico de conhecimento para dados BR112017003023A2 (pt)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201462039329P 2014-08-19 2014-08-19
US14/528,890 US10474949B2 (en) 2014-08-19 2014-10-30 Knowledge-graph biased classification for data
PCT/US2015/042488 WO2016028446A1 (en) 2014-08-19 2015-07-28 Knowledge-graph biased classification for data

Publications (1)

Publication Number Publication Date
BR112017003023A2 true BR112017003023A2 (pt) 2017-12-12

Family

ID=55348579

Family Applications (1)

Application Number Title Priority Date Filing Date
BR112017003023A BR112017003023A2 (pt) 2014-08-19 2015-07-28 classificação enviesante de gráfico de conhecimento para dados

Country Status (9)

Country Link
US (1) US10474949B2 (pt)
EP (2) EP3937087A1 (pt)
JP (1) JP2017531240A (pt)
KR (1) KR20170044102A (pt)
CN (1) CN106663221B (pt)
BR (1) BR112017003023A2 (pt)
SG (1) SG11201610934SA (pt)
TW (1) TW201626293A (pt)
WO (1) WO2016028446A1 (pt)

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Also Published As

Publication number Publication date
EP3937087A1 (en) 2022-01-12
KR20170044102A (ko) 2017-04-24
CN106663221B (zh) 2019-11-29
WO2016028446A1 (en) 2016-02-25
JP2017531240A (ja) 2017-10-19
US20160055409A1 (en) 2016-02-25
TW201626293A (zh) 2016-07-16
US10474949B2 (en) 2019-11-12
EP3183695A1 (en) 2017-06-28
CN106663221A (zh) 2017-05-10
SG11201610934SA (en) 2017-03-30

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