CA3154982C - Interactive machine learning - Google Patents

Interactive machine learning Download PDF

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Publication number
CA3154982C
CA3154982C CA3154982A CA3154982A CA3154982C CA 3154982 C CA3154982 C CA 3154982C CA 3154982 A CA3154982 A CA 3154982A CA 3154982 A CA3154982 A CA 3154982A CA 3154982 C CA3154982 C CA 3154982C
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Prior art keywords
user interface
prediction
machine learning
user
neural network
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English (en)
French (fr)
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CA3154982A1 (en
Inventor
Ishan Amlekar
Chantal BISSON-KROL
Zhen Lin
Seyednaser NOURASHRAFEDDIN
Sebastien Ouellet
Kevin Shen
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Kinaxis Inc
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Kinaxis Inc
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    • 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
    • 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
    • G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
    • G06F18/2178—Validation; Performance evaluation; Active pattern learning techniques based on feedback of a supervisor
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/40—Software arrangements specially adapted for pattern recognition, e.g. user interfaces or toolboxes therefor
    • G06F18/41—Interactive pattern learning with a human teacher
    • 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
    • G06N20/00—Machine learning
    • G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]
    • 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
    • G06N3/0499—Feedforward 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
    • G06N3/08—Learning methods
    • G06N3/09—Supervised 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
    • G06N3/08—Learning methods
    • G06N3/091—Active 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
    • G06N3/10—Interfaces, programming languages or software development kits, e.g. for simulating neural networks
    • G06N3/105—Shells for specifying net layout
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/23—Clustering techniques
    • G06F18/232—Non-hierarchical techniques
    • G06F18/2321—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
    • G06F18/23213—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions with fixed number of clusters, e.g. K-means clustering

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Medical Informatics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Human Computer Interaction (AREA)
  • User Interface Of Digital Computer (AREA)
  • Machine Translation (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
CA3154982A 2019-10-15 2020-10-15 Interactive machine learning Active CA3154982C (en)

Applications Claiming Priority (7)

Application Number Priority Date Filing Date Title
US201962915076P 2019-10-15 2019-10-15
US62/915,076 2019-10-15
US16/697,620 US12154013B2 (en) 2019-10-15 2019-11-27 Interactive machine learning
US16/697,620 2019-11-27
US16/699,010 2019-11-28
US16/699,010 US12242954B2 (en) 2019-10-15 2019-11-28 Interactive machine learning
PCT/CA2020/051379 WO2021072537A1 (en) 2019-10-15 2020-10-15 Interactive machine learning

Publications (2)

Publication Number Publication Date
CA3154982A1 CA3154982A1 (en) 2022-04-22
CA3154982C true CA3154982C (en) 2024-05-28

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CA3154982A Active CA3154982C (en) 2019-10-15 2020-10-15 Interactive machine learning

Country Status (5)

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US (2) US12242954B2 (https=)
EP (1) EP4046086A4 (https=)
JP (2) JP7245961B2 (https=)
CA (1) CA3154982C (https=)
WO (1) WO2021072537A1 (https=)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11727284B2 (en) * 2019-12-12 2023-08-15 Business Objects Software Ltd Interpretation of machine learning results using feature analysis
US11615330B2 (en) * 2020-03-18 2023-03-28 Kyndryl, Inc. Virtual subject matter expert provisioning
US11748239B1 (en) * 2020-05-06 2023-09-05 Allstate Solutions Private Limited Data driven testing automation using machine learning
US11663296B2 (en) * 2020-09-02 2023-05-30 nbn co limited Automatic work order analysis
CA3147976A1 (en) * 2021-02-03 2022-08-03 Royal Bank Of Canada System and method for machine learning monitoring
US12387108B2 (en) * 2021-04-21 2025-08-12 Google Llc Enhanced uncertainty management for optical communication systems
US20240104432A1 (en) * 2022-09-23 2024-03-28 X Development Llc Noisy ecological data enhancement via spatiotemporal interpolation and variance mapping

Family Cites Families (83)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH11316763A (ja) 1998-05-01 1999-11-16 Mitsubishi Electric Corp 文書分類装置，文書分類方法及び記憶媒体
AUPS017302A0 (en) 2002-01-25 2002-02-14 Tritronics (Australia) Pty Ltd Performance monitoring system and method
US9785951B1 (en) 2006-02-28 2017-10-10 International Business Machines Corporation Scalable tuning engine
US7792353B2 (en) * 2006-10-31 2010-09-07 Hewlett-Packard Development Company, L.P. Retraining a machine-learning classifier using re-labeled training samples
US8108423B2 (en) 2008-10-03 2012-01-31 Disney Enterprises, Inc. System and method for ontology and rules based segmentation engine for networked content delivery
US20100138273A1 (en) 2008-12-01 2010-06-03 Arash Bateni Repeatability index to enhance seasonal product forecasting
JP4745424B2 (ja) 2009-06-05 2011-08-10 株式会社東芝 文書分類装置及び文書分類プログラム
WO2011008361A1 (en) 2009-06-30 2011-01-20 Dow Agrosciences Llc Application of machine learning methods for mining association rules in plant and animal data sets containing molecular genetic markers, followed by classification or prediction utilizing features created from these association rules
EP2537335B1 (en) * 2010-02-19 2019-01-16 InterDigital Madison Patent Holdings Media content spatial navigation
US20120303412A1 (en) 2010-11-24 2012-11-29 Oren Etzioni Price and model prediction system and method
US8386285B2 (en) 2011-05-25 2013-02-26 International Business Machines Corporation Demand modeling and prediction in a retail category
US20130166350A1 (en) 2011-06-28 2013-06-27 Smart Software, Inc. Cluster based processing for forecasting intermittent demand
US10192243B1 (en) 2013-06-10 2019-01-29 Groupon, Inc. Method and apparatus for determining promotion pricing parameters
US20180047071A1 (en) 2012-07-24 2018-02-15 Ebay Inc. System and methods for aggregating past and predicting future product ratings
JP2014067154A (ja) 2012-09-25 2014-04-17 Toshiba Corp 文書分類支援装置、方法及びプログラム
US9111228B2 (en) 2012-10-29 2015-08-18 Sas Institute Inc. System and method for combining segmentation data
US8924910B2 (en) 2012-11-09 2014-12-30 Analog Devices, Inc. Filter design tool
US20140236875A1 (en) 2012-11-15 2014-08-21 Purepredictive, Inc. Machine learning for real-time adaptive website interaction
US20140156346A1 (en) 2012-12-04 2014-06-05 Sap Ag Methods and systems for dynamic demand sensing
US9218574B2 (en) 2013-05-29 2015-12-22 Purepredictive, Inc. User interface for machine learning
US20140358828A1 (en) 2013-05-29 2014-12-04 Purepredictive, Inc. Machine learning generated action plan
US9430460B2 (en) 2013-07-12 2016-08-30 Microsoft Technology Licensing, Llc Active featuring in computer-human interactive learning
US9959675B2 (en) 2014-06-09 2018-05-01 Microsoft Technology Licensing, Llc Layout design using locally satisfiable proposals
US10452992B2 (en) 2014-06-30 2019-10-22 Amazon Technologies, Inc. Interactive interfaces for machine learning model evaluations
US11100420B2 (en) 2014-06-30 2021-08-24 Amazon Technologies, Inc. Input processing for machine learning
US9390086B2 (en) * 2014-09-11 2016-07-12 Palantir Technologies Inc. Classification system with methodology for efficient verification
US10002329B2 (en) 2014-09-26 2018-06-19 Facebook, Inc. Selection and modification of features used by one or more machine learned models used by an online system
US20160092519A1 (en) 2014-09-26 2016-03-31 Wal-Mart Stores, Inc. System and method for capturing seasonality and newness in database searches
US9760990B2 (en) 2014-12-14 2017-09-12 International Business Machines Corporation Cloud-based infrastructure for feedback-driven training and image recognition
US10453026B2 (en) 2015-03-06 2019-10-22 Walmart Apollo, Llc System and method for forecasting high-sellers using multivariate bayesian time series
US10713594B2 (en) 2015-03-20 2020-07-14 Salesforce.Com, Inc. Systems, methods, and apparatuses for implementing machine learning model training and deployment with a rollback mechanism
US20160358099A1 (en) 2015-06-04 2016-12-08 The Boeing Company Advanced analytical infrastructure for machine learning
EP3329412B1 (en) 2015-07-31 2026-02-11 BluVector, Inc. System and method for in-situ supervised machine learning classifier retraining for malware-identification
JP6555015B2 (ja) 2015-08-31 2019-08-07 富士通株式会社 機械学習管理プログラム、機械学習管理装置および機械学習管理方法
GB201517462D0 (en) 2015-10-02 2015-11-18 Tractable Ltd Semi-automatic labelling of datasets
US20180373208A1 (en) 2015-12-25 2018-12-27 Nec Corporation Cost function design system, cost function design method, and cost function design program
JP7114900B2 (ja) 2016-02-03 2022-08-09 日本電気株式会社 情報処理装置、情報処理方法、及び、プログラム
US10643182B2 (en) 2016-03-16 2020-05-05 Oracle International Corporation Resume extraction based on a resume type
US10839470B2 (en) 2016-04-22 2020-11-17 FiscalNote, Inc. Systems and methods for providing a virtual whipboard
CN108960514B (zh) 2016-04-27 2022-09-06 第四范式（北京）技术有限公司 展示预测模型的方法、装置及调整预测模型的方法、装置
EP3449323A4 (en) 2016-04-28 2020-04-01 Veritone Alpha, Inc. USE OF FORECASTS FOR THE CONTROL OF TARGET SYSTEMS
US10489986B2 (en) 2018-01-25 2019-11-26 Ctrl-Labs Corporation User-controlled tuning of handstate representation model parameters
US11416680B2 (en) 2016-08-18 2022-08-16 Sap Se Classifying social media inputs via parts-of-speech filtering
US11188824B2 (en) 2017-02-17 2021-11-30 Google Llc Cooperatively training and/or using separate input and subsequent content neural networks for information retrieval
US20180247193A1 (en) 2017-02-24 2018-08-30 Xtract Technologies Inc. Neural network training using compressed inputs
JP6660900B2 (ja) 2017-03-06 2020-03-11 Kddi株式会社 モデル統合装置、モデル統合システム、方法およびプログラム
EP3602464A4 (en) 2017-03-23 2020-09-16 Rubikloud Technologies Inc. PROCESS AND SYSTEM FOR GENERATING AT LEAST ONE OUTPUT ANALYSIS FOR A PROMOTION
EP3602430A4 (en) 2017-03-23 2020-08-05 Rubikloud Technologies Inc. ADJUSTABLE AUTOMATED FORECASTS GENERATION PROCESS AND SYSTEM FOR PROMOTION
US10395210B2 (en) 2017-04-24 2019-08-27 Walmart Apollo, Llc System and method for using stores as receiving points for third party, E-commerce suppliers
US10255550B1 (en) 2017-06-07 2019-04-09 States Title, Inc. Machine learning using multiple input data types
US11068916B2 (en) 2017-06-26 2021-07-20 Kronos Technology Systems Limited Partnershi Using machine learning to predict retail business volume
US10108902B1 (en) 2017-09-18 2018-10-23 CS Disco, Inc. Methods and apparatus for asynchronous and interactive machine learning using attention selection techniques
US11928616B2 (en) 2017-09-18 2024-03-12 Kinaxis Inc. Method and system for hierarchical forecasting
US20190102693A1 (en) 2017-09-29 2019-04-04 Facebook, Inc. Optimizing parameters for machine learning models
US11748653B2 (en) 2017-10-05 2023-09-05 DataRobot, Inc. Machine learning abstraction
US11922440B2 (en) 2017-10-31 2024-03-05 Oracle International Corporation Demand forecasting using weighted mixed machine learning models
US10535138B2 (en) 2017-11-21 2020-01-14 Zoox, Inc. Sensor data segmentation
US20190156357A1 (en) 2017-11-22 2019-05-23 Staples, Inc. Advanced computational prediction models for heterogeneous data
US10402788B2 (en) 2017-11-29 2019-09-03 Aon Global Operations Ltd (Singapore Branch) Dashboard interface, platform, and environment for intelligent subscription product selection
CN110633745B (zh) 2017-12-12 2022-11-29 腾讯科技（深圳）有限公司 一种基于人工智能的图像分类训练方法、装置及存储介质
US10489126B2 (en) 2018-02-12 2019-11-26 Oracle International Corporation Automated code generation
US11017422B2 (en) 2018-03-01 2021-05-25 Adobe Inc. Dynamically generating digital product notifications over time based on product expiration data
US11599894B2 (en) 2018-06-29 2023-03-07 Tata Consultancy Services Limited Method and system for generating customer decision tree through machine learning
KR102814797B1 (ko) 2018-08-02 2025-05-30 삼성전자주식회사 메타-학습에 기반하여 기계학습의 모델을 선정하는 방법 및 장치
US10896237B2 (en) 2018-08-22 2021-01-19 International Business Machines Corporation Reducing database stress using cognitive data caching
US11475404B2 (en) 2018-09-05 2022-10-18 Trax Technology Solutions Pte Ltd. Aggregating product shortage information
US10740656B2 (en) 2018-09-19 2020-08-11 Hughes Network Systems, Llc Machine learning clustering models for determining the condition of a communication system
US11107166B2 (en) 2018-09-25 2021-08-31 Business Objects Software Ltd. Multi-step day sales outstanding forecasting
US10997614B2 (en) 2018-10-09 2021-05-04 Oracle International Corporation Flexible feature regularization for demand model generation
US11295324B2 (en) 2018-10-26 2022-04-05 Target Brands, Inc. Method and system for generating disaggregated demand forecasts from ensemble demand forecasts
US11170391B2 (en) 2018-10-26 2021-11-09 Target Brands, Inc. Method and system for validating ensemble demand forecasts
US20200130425A1 (en) 2018-10-26 2020-04-30 Pilot Inc. Beadlock with filler ring
US20200184494A1 (en) 2018-12-05 2020-06-11 Legion Technologies, Inc. Demand Forecasting Using Automatic Machine-Learning Model Selection
JP2020094928A (ja) 2018-12-13 2020-06-18 本田技研工業株式会社 経路案内装置およびその制御方法、情報処理サーバ、ならびに経路案内システム
US20200210920A1 (en) 2019-01-02 2020-07-02 Legion Technologies, Inc. Machine Learning System for Demand Forecasting With Improved Date Alignment
US11568286B2 (en) 2019-01-31 2023-01-31 Fair Isaac Corporation Providing insights about a dynamic machine learning model
US11537825B2 (en) 2019-10-11 2022-12-27 Kinaxis Inc. Systems and methods for features engineering
US11526899B2 (en) 2019-10-11 2022-12-13 Kinaxis Inc. Systems and methods for dynamic demand sensing
WO2022192738A1 (en) 2021-03-12 2022-09-15 DataRobot, Inc. Systems and methods for time series modeling
US20220318711A1 (en) 2021-03-31 2022-10-06 Coupa Software Incorporated Automated supply chain demand forecasting
KR102897335B1 (ko) 2021-05-25 2025-12-05 구글 엘엘씨 머신 러닝 시계열 이상 검출
US20230091610A1 (en) 2021-09-13 2023-03-23 DataRobot, Inc. Systems and methods of generating and validating time-series features using machine learning
US20230401468A1 (en) 2022-05-17 2023-12-14 Dell Products L.P. Methods and systems for generating forecasts using an ensemble online demand generation forecaster

Also Published As

Publication number Publication date
EP4046086A1 (en) 2022-08-24
EP4046086A4 (en) 2023-12-20
US20210110299A1 (en) 2021-04-15
JP2023052555A (ja) 2023-04-11
US20240370723A1 (en) 2024-11-07
JP7624465B2 (ja) 2025-01-30
WO2021072537A1 (en) 2021-04-22
JP2022548333A (ja) 2022-11-17
CA3154982A1 (en) 2022-04-22
US12242954B2 (en) 2025-03-04
JP7245961B2 (ja) 2023-03-24

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