SG11202005334RA - Systems for constructing hierarchical training data sets for use with machine-learning and related methods therefor - Google Patents

Systems for constructing hierarchical training data sets for use with machine-learning and related methods therefor

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Publication number
SG11202005334RA
SG11202005334RA SG11202005334RA SG11202005334RA SG11202005334RA SG 11202005334R A SG11202005334R A SG 11202005334RA SG 11202005334R A SG11202005334R A SG 11202005334RA SG 11202005334R A SG11202005334R A SG 11202005334RA SG 11202005334R A SG11202005334R A SG 11202005334RA
Authority
SG
Singapore
Prior art keywords
learning
systems
machine
training data
data sets
Prior art date
Application number
SG11202005334RA
Inventor
Cody Friesen
Paul Johnson
Heath Lorzel
Kamil Salloum
Jonathan Goldberg
Grant Friesen
Jason Horwitz
Original Assignee
Zero Mass Water 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 Zero Mass Water Inc filed Critical Zero Mass Water Inc
Publication of SG11202005334RA publication Critical patent/SG11202005334RA/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B17/00—Systems involving the use of models or simulators of said systems
    • G05B17/02—Systems involving the use of models or simulators of said systems electric
    • 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
    • G06N3/045—Combinations of networks

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • Automation & Control Theory (AREA)
  • Health & Medical Sciences (AREA)
  • Mathematical Physics (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Data Mining & Analysis (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Feedback Control In General (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • User Interface Of Digital Computer (AREA)
  • Electrically Operated Instructional Devices (AREA)
SG11202005334RA 2017-12-06 2018-12-06 Systems for constructing hierarchical training data sets for use with machine-learning and related methods therefor SG11202005334RA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201762595445P 2017-12-06 2017-12-06
PCT/US2018/064308 WO2019113354A1 (en) 2017-12-06 2018-12-06 Systems for constructing hierarchical training data sets for use with machine-learning and related methods therefor

Publications (1)

Publication Number Publication Date
SG11202005334RA true SG11202005334RA (en) 2020-07-29

Family

ID=64755734

Family Applications (1)

Application Number Title Priority Date Filing Date
SG11202005334RA SG11202005334RA (en) 2017-12-06 2018-12-06 Systems for constructing hierarchical training data sets for use with machine-learning and related methods therefor

Country Status (5)

Country Link
US (2) US11281997B2 (en)
AU (1) AU2018380168B2 (en)
MX (1) MX2020005896A (en)
SG (1) SG11202005334RA (en)
WO (1) WO2019113354A1 (en)

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WO2019161339A1 (en) 2018-02-18 2019-08-22 Zero Mass Water, Inc. Systems for generating water for a container farm and related methods therefor
WO2019217974A1 (en) 2018-05-11 2019-11-14 Zero Mass Water, Inc. Systems for generating water using exogenously generated heat, exogenously generated electricity, and exhaust process fluids and related methods therefor
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US20200124566A1 (en) 2018-10-22 2020-04-23 Zero Mass Water, Inc. Systems and methods for detecting and measuring oxidizing compounds in test fluids
JP7184636B2 (en) * 2018-12-27 2022-12-06 三菱重工業株式会社 Data sorting device and method, and monitoring diagnostic device
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