SG11202112327VA - Hierarchical machine learning architecture including master engine supported by distributed light-weight real-time edge engines - Google Patents

Hierarchical machine learning architecture including master engine supported by distributed light-weight real-time edge engines

Info

Publication number
SG11202112327VA
SG11202112327VA SG11202112327VA SG11202112327VA SG11202112327VA SG 11202112327V A SG11202112327V A SG 11202112327VA SG 11202112327V A SG11202112327V A SG 11202112327VA SG 11202112327V A SG11202112327V A SG 11202112327VA SG 11202112327V A SG11202112327V A SG 11202112327VA
Authority
SG
Singapore
Prior art keywords
machine learning
architecture including
including master
distributed light
learning architecture
Prior art date
Application number
SG11202112327VA
Inventor
Tianhao Wu
Original Assignee
Singularity Systems 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 Singularity Systems Inc filed Critical Singularity Systems Inc
Publication of SG11202112327VA publication Critical patent/SG11202112327VA/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/30—Semantic analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
    • G06F3/0482—Interaction with lists of selectable items, e.g. menus
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/10—Text processing
    • G06F40/12—Use of codes for handling textual entities
    • G06F40/14—Tree-structured documents
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/20—Natural language analysis
    • G06F40/205—Parsing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/20—Natural language analysis
    • G06F40/279—Recognition of textual entities
    • G06F40/284—Lexical analysis, e.g. tokenisation or collocates
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
    • 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
    • G06N3/084—Backpropagation, e.g. using gradient descent
SG11202112327VA 2019-04-03 2020-03-31 Hierarchical machine learning architecture including master engine supported by distributed light-weight real-time edge engines SG11202112327VA (en)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US201962828733P 2019-04-03 2019-04-03
US201962829567P 2019-04-04 2019-04-04
US201962831539P 2019-04-09 2019-04-09
PCT/US2020/025959 WO2020205861A1 (en) 2019-04-03 2020-03-31 Hierarchical machine learning architecture including master engine supported by distributed light-weight real-time edge engines

Publications (1)

Publication Number Publication Date
SG11202112327VA true SG11202112327VA (en) 2021-12-30

Family

ID=72663074

Family Applications (1)

Application Number Title Priority Date Filing Date
SG11202112327VA SG11202112327VA (en) 2019-04-03 2020-03-31 Hierarchical machine learning architecture including master engine supported by distributed light-weight real-time edge engines

Country Status (5)

Country Link
US (2) US11334818B2 (en)
EP (1) EP3948501A4 (en)
CN (1) CN113841168A (en)
SG (1) SG11202112327VA (en)
WO (1) WO2020205861A1 (en)

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WO2022245225A1 (en) * 2021-05-21 2022-11-24 Xero Limited Methods and systems for determining payment behaviours
US20230031612A1 (en) * 2021-08-01 2023-02-02 UiPath, Inc. Machine learning based entity recognition

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Also Published As

Publication number Publication date
WO2020205861A1 (en) 2020-10-08
CN113841168A (en) 2021-12-24
EP3948501A4 (en) 2022-12-21
US20220188517A1 (en) 2022-06-16
US20200320433A1 (en) 2020-10-08
US11334818B2 (en) 2022-05-17
EP3948501A1 (en) 2022-02-09

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