Invention Grant
- Patent Title: Computer model machine learning based on correlations of training data with performance trends
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Application No.: US16295062Application Date: 2019-03-07
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Publication No.: US11809966B2Publication Date: 2023-11-07
- Inventor: Hanqing Chen , Abhinandan Kelgere Ramesh , Ramani Routray , Robert Ip
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Stephen J. Walder, Jr.; Aaron Pontikos
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06F16/901 ; G06N5/04 ; G06F17/15 ; G06F18/214

Abstract:
Mechanisms are provided for training a computer implemented model. The mechanisms perform multiple instances of training of the computer implemented model, where each instance of training of the computer implemented model comprises training the computer implemented model using a different training data set to generate a different instance of a trained computer implemented model. The mechanisms generate computer implemented model results after each instance of training by executing the corresponding instance of the trained computer implemented model. The mechanisms record differences in the instances of training of the computer implemented model in association with corresponding identifiers of the instances of trained computer implemented model and corresponding computer implemented model results. The mechanisms analyze the recorded differences and the corresponding computer implemented model results, and generate an output indicating a correlation between recorded differences and corresponding computer implemented model results.
Public/Granted literature
- US20200285899A1 Computer Model Machine Learning Based on Correlations of Training Data with Performance Trends Public/Granted day:2020-09-10
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