Invention Grant
- Patent Title: Enhanced ensemble model diversity and learning
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Application No.: US16381979Application Date: 2019-04-11
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Publication No.: US11593716B2Publication Date: 2023-02-28
- Inventor: Saket Sathe , Deepak Turaga , Charu Aggarwal , Raju Pavuluri , Yuan-Chi Chang
- 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
- Agency: Griffiths & Seaton PLLC
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06N20/20 ; G06K9/62

Abstract:
Embodiments for implementing enhanced ensemble model diversity and learning by a processor. One or more data sets may be created by combining one or more clusters of data points of a minority class with selected data points of a majority class. One or more ensemble models may be created from the one or more data sets using a supervised machine learning operation. An occurrence of an event may be predicted using the one or more ensemble models.
Public/Granted literature
- US20200327456A1 ENHANCED ENSEMBLE MODEL DIVERSITY AND LEARNING Public/Granted day:2020-10-15
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