Invention Grant
- Patent Title: Machine learning engineering through hybrid knowledge representation
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Application No.: US16279323Application Date: 2019-02-19
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Publication No.: US11687795B2Publication Date: 2023-06-27
- Inventor: Marcio Ferreira Moreno , Daniel Salles Civitarese , Lucas Correia Villa Real , Rafael Rossi de Mello Brandao , Renato Fontoura de Gusmao Cerqueira
- 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: Scully, Scott, Murphy & Presser, P.C.
- Agent Peter J. Edwards
- Main IPC: G06N5/022
- IPC: G06N5/022 ; G06N20/00 ; G06F16/903 ; G06F16/901

Abstract:
A hybrid knowledge representation is searched for a machine learning component corresponding to a search query. The hybrid knowledge representation may be structured as nodes representing machine learning workflow components and edges (e.g., links) connecting the nodes based on relationships between the nodes. Responsive to finding the machine learning component in the hybrid knowledge representation, the machine learning component is returned. Responsive to not finding the machine learning component in the hybrid knowledge representation, the hybrid knowledge representation is searched for machine learning model fragments associated with building the machine learning component, generating a new machine learning component by combining the machine learning model fragments and returning the new machine learning component.
Public/Granted literature
- US20200265324A1 MACHINE LEARNING ENGINEERING THROUGH HYBRID KNOWLEDGE REPRESENTATION Public/Granted day:2020-08-20
Information query