Invention Grant
- Patent Title: Self-managed adaptable models for prediction systems
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Application No.: US15483016Application Date: 2017-04-10
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Publication No.: US11276011B2Publication Date: 2022-03-15
- Inventor: Eric P. Bouillet , Bei Chen , Randall L. Cogill , Thanh L. Hoang , Marco Laumanns , William K. Lynch , Rahul Nair , Pascal Pompey , John Sheehan
- 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: G06N20/00
- IPC: G06N20/00 ; H04L67/12 ; H04L67/10 ; G06N5/02
Abstract:
Embodiments for self-managed adaptable models for prediction systems by one or more processors. One or more adaptive models may be applied to data streams from a plurality of data sources according to one or more data recipes such that the one or more adaptive models predict a plurality of target variables.
Public/Granted literature
- US20180293511A1 SELF-MANAGED ADAPTABLE MODELS FOR PREDICTION SYSTEMS Public/Granted day:2018-10-11
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