Invention Grant
- Patent Title: Methods and apparatus to provide machine assisted programming
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Application No.: US16457365Application Date: 2019-06-28
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Publication No.: US11475369B2Publication Date: 2022-10-18
- Inventor: Marcos Emanuel Carranza , Cesar Martinez-Spessot , Mats Agerstam , Maria Ramirez Loaiza , Alexander Heinecke , Justin Gottschlich
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Hanley, Flight & Zimmerman, LLC
- Main IPC: G06N20/10
- IPC: G06N20/10 ; G06N20/20 ; G06K9/62 ; G06F8/41

Abstract:
Methods, apparatus, systems and articles of manufacture to provide machine assisted programming are disclosed. An example apparatus includes a feature extractor to convert compiled code into a first feature vector; a first machine leaning model to identify a cluster of stored feature vectors corresponding to the first feature vector; and a second machine learning model to recommend a second algorithm corresponding to a second feature vector of the cluster based on a comparison of a parameter of a first algorithm corresponding to the first feature vector and the parameter of the second algorithm.
Public/Granted literature
- US20190325348A1 METHODS AND APPARATUS TO PROVIDE MACHINE ASSISTED PROGRAMMING Public/Granted day:2019-10-24
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