Invention Grant
- Patent Title: Similarity based learning machine and methods of similarity based machine learning
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Application No.: US16275681Application Date: 2019-02-14
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Publication No.: US11379760B2Publication Date: 2022-07-05
- Inventor: Yang Chang
- Applicant: Yang Chang
- Applicant Address: US MA Methuen
- Assignee: Yang Chang
- Current Assignee: Yang Chang
- Current Assignee Address: US MA Methuen
- Agency: Lambert Shortell & Connaughton
- Agent David J. Connaughton, Jr.; Justin P. Tinger
- Main IPC: G06N20/10
- IPC: G06N20/10 ; G16H50/70 ; G06N20/00 ; G06N5/04

Abstract:
In accordance with aspects and embodiments, an improved similarity based learning machine and methods of similarity based machine learning are provided. More specifically, the learning machines and machine learning methods of the present disclosure advantageously define subjects by attributes, assign a first similarity score to each of the subjects, from the first similarity score, calculate attribute scaling factors, and use the attribute scaling factors to generate an improved similarity score. In accordance with aspects and embodiments, the improved similarity scores may be used to improve machine learning.
Public/Granted literature
- US20200265340A1 SIMILARITY BASED LEARNING MACHINE AND METHODS OF SIMILARITY BASED MACHINE LEARNING Public/Granted day:2020-08-20
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