CA3189593A1 - Hybrid machine learning - Google Patents

Hybrid machine learning

Info

Publication number
CA3189593A1
CA3189593A1 CA3189593A CA3189593A CA3189593A1 CA 3189593 A1 CA3189593 A1 CA 3189593A1 CA 3189593 A CA3189593 A CA 3189593A CA 3189593 A CA3189593 A CA 3189593A CA 3189593 A1 CA3189593 A1 CA 3189593A1
Authority
CA
Canada
Prior art keywords
machine learning
model
learning process
representation
data type
Prior art date
Legal status (The legal status 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 status listed.)
Pending
Application number
CA3189593A
Other languages
English (en)
French (fr)
Inventor
Dylan BLANCHARD
Tyler HEINL
Roland Manfred Hochmuth
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Alteryx Inc
Original Assignee
Alteryx 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 Alteryx Inc filed Critical Alteryx Inc
Publication of CA3189593A1 publication Critical patent/CA3189593A1/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computing arrangements using knowledge-based models
    • G06N5/04Inference or reasoning models
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/903Querying
    • G06F16/9032Query formulation
    • G06F16/90324Query formulation using system suggestions
    • G06F16/90328Query formulation using system suggestions using search space presentation or visualization, e.g. category or range presentation and selection
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/211Selection of the most significant subset of features
    • G06F18/2113Selection of the most significant subset of features by ranking or filtering the set of features, e.g. using a measure of variance or of feature cross-correlation
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/217Validation; Performance evaluation; Active pattern learning techniques
    • G06F18/2178Validation; Performance evaluation; Active pattern learning techniques based on feedback of a supervisor
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/22Matching criteria, e.g. proximity measures
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/096Transfer learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/0985Hyperparameter optimisation; Meta-learning; Learning-to-learn
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/10Interfaces, programming languages or software development kits, e.g. for simulating neural networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computing arrangements using knowledge-based models
    • G06N5/04Inference or reasoning models
    • G06N5/045Explanation of inference; Explainable artificial intelligence [XAI]; Interpretable artificial intelligence
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/903Querying
    • G06F16/9035Filtering based on additional data, e.g. user or group profiles

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Software Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Mathematical Physics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Computing Systems (AREA)
  • Computational Linguistics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Databases & Information Systems (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Stored Programmes (AREA)
  • Image Analysis (AREA)
  • Control Of Eletrric Generators (AREA)
  • Steroid Compounds (AREA)
  • Organic Low-Molecular-Weight Compounds And Preparation Thereof (AREA)
  • User Interface Of Digital Computer (AREA)
  • Elevator Control (AREA)
  • Feedback Control In General (AREA)
CA3189593A 2020-08-25 2021-08-24 Hybrid machine learning Pending CA3189593A1 (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US17/002,717 US12190251B2 (en) 2020-08-25 2020-08-25 Hybrid machine learning
US17/002,717 2020-08-25
PCT/US2021/047334 WO2022046759A1 (en) 2020-08-25 2021-08-24 Hybrid machine learning

Publications (1)

Publication Number Publication Date
CA3189593A1 true CA3189593A1 (en) 2022-03-03

Family

ID=80355680

Family Applications (1)

Application Number Title Priority Date Filing Date
CA3189593A Pending CA3189593A1 (en) 2020-08-25 2021-08-24 Hybrid machine learning

Country Status (8)

Country Link
US (2) US12190251B2 (https=)
EP (1) EP4205043A4 (https=)
JP (1) JP7806027B2 (https=)
KR (1) KR20230054701A (https=)
CN (1) CN115989509A (https=)
AU (1) AU2021332209B2 (https=)
CA (1) CA3189593A1 (https=)
WO (1) WO2022046759A1 (https=)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20210360017A1 (en) * 2020-05-14 2021-11-18 Cynomi Ltd System and method of dynamic cyber risk assessment
EP3982302A1 (en) * 2020-10-12 2022-04-13 Robert Bosch GmbH Device for and method of automating machine learning
US20220300755A1 (en) * 2021-03-16 2022-09-22 Visa International Service Association Method, System, and Computer Program Product for Predicting Future States Based on Time Series Data Using Feature Engineering and/or Hybrid Machine Learning Models
US12499370B2 (en) * 2021-06-09 2025-12-16 Tata Consultancy Services Limited Systems and methods for determining explainability of machine predicted decisions
US20230289650A1 (en) * 2022-03-09 2023-09-14 International Business Machines Corporation Continuous machine learning system for containerized environment with limited resources
WO2024026393A1 (en) * 2022-07-27 2024-02-01 Indr, Inc. Methods and apparatus for ensemble machine learning models and natural language processing for predicting persona based on input patterns

Family Cites Families (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AU4019901A (en) 1999-09-21 2001-04-24 Andrew E. Borthwick A probabilistic record linkage model derived from training data
US9454767B2 (en) 2013-03-13 2016-09-27 Salesforce.Com, Inc. Systems, methods, and apparatuses for implementing a related command with a predictive query interface
US10452992B2 (en) 2014-06-30 2019-10-22 Amazon Technologies, Inc. Interactive interfaces for machine learning model evaluations
WO2016130858A1 (en) * 2015-02-11 2016-08-18 Skytree, Inc. User interface for unified data science platform including management of models, experiments, data sets, projects, actions, reports and features
US20170308800A1 (en) 2016-04-26 2017-10-26 Smokescreen Intelligence, LLC Interchangeable Artificial Intelligence Perception Systems and Methods
US20180268258A1 (en) * 2017-03-14 2018-09-20 TUPL, Inc. Automated decision making using staged machine learning
JP6840627B2 (ja) * 2017-06-15 2021-03-10 株式会社日立製作所 ハイパーパラメータの評価方法、計算機及びプログラム
CN108830383B (zh) * 2018-05-30 2021-06-08 第四范式(北京)技术有限公司 用于展示机器学习建模过程的方法及系统
US11275485B2 (en) 2018-06-15 2022-03-15 Sap Se Data processing pipeline engine
US10747506B2 (en) * 2018-06-15 2020-08-18 Sap Se Customizing operator nodes for graphical representations of data processing pipelines
CN108898229B (zh) * 2018-06-26 2021-12-14 第四范式(北京)技术有限公司 用于构建机器学习建模过程的方法及系统
CN113168421A (zh) * 2018-12-13 2021-07-23 株式会社半导体能源研究所 内容的分类方法及分类模型的生成方法
US11727314B2 (en) * 2019-09-30 2023-08-15 Amazon Technologies, Inc. Automated machine learning pipeline exploration and deployment

Also Published As

Publication number Publication date
KR20230054701A (ko) 2023-04-25
US20250094841A1 (en) 2025-03-20
US20220067541A1 (en) 2022-03-03
JP7806027B2 (ja) 2026-01-26
JP2023539240A (ja) 2023-09-13
AU2021332209B2 (en) 2024-07-25
AU2021332209A1 (en) 2023-03-09
EP4205043A1 (en) 2023-07-05
CN115989509A (zh) 2023-04-18
US12190251B2 (en) 2025-01-07
EP4205043A4 (en) 2024-11-13
WO2022046759A1 (en) 2022-03-03

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