Invention Grant
- Patent Title: Interactive machine learning
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Application No.: US16697620Application Date: 2019-11-27
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Publication No.: US12154013B2Publication Date: 2024-11-26
- Inventor: Chantal Bisson-Krol , Zhen Lin , Ishan Amlekar , Kevin Shen , Seyednaser Nourashrafeddin , Sebastien Ouellet
- Applicant: Kinaxis Inc.
- Applicant Address: CA Ottawa
- Assignee: Kinaxis Inc.
- Current Assignee: Kinaxis Inc.
- Current Assignee Address: CA Ottawa
- Agency: Borden Ladner Gervais LLP
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06F3/04845 ; G06N5/04 ; G06N20/20

Abstract:
A computer-implemented method of interactive machine learning in which a user is provided with predicted results from a trained machine learning model. The user can take the predicted results and either: i) adjust the predicted results and input the adjusted results as new data; or ii) adjust the predicted data to retrain the model.
Public/Granted literature
- US20210110298A1 INTERACTIVE MACHINE LEARNING Public/Granted day:2021-04-15
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