Invention Grant
- Patent Title: Accuracy of classification models
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Application No.: US17107851Application Date: 2020-11-30
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Publication No.: US11640559B2Publication Date: 2023-05-02
- Inventor: Gonen Raveh , Elad Goshen
- Applicant: Orbotech Ltd.
- Applicant Address: IL Yavne
- Assignee: Orbotech Ltd.
- Current Assignee: Orbotech Ltd.
- Current Assignee Address: IL Yavne
- Agency: Hodgson Russ LLP
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06N3/08

Abstract:
An Artificial Intelligence system, an apparatus and, a computer program product and a method for automatic improvement of artificial intelligence classification models. A model-performance measurement of the classification model is iteratively improved by at least a predetermined target goal in each iteration. The iterative improvement comprises generating a hypotheses graph for improving the classification model, based on a list of hypotheses and scores thereof. Each hypothesis relates to a strategy for potentially improving the classification model, and is associated with a score indicating a likelihood that an application thereof improves the model-performance measurement. Each node of the hypotheses graph comprises a hypothesis of the list of hypotheses. The iterative improvement further comprises selecting a selected hypothesis from the hypotheses graph based on a traversal thereof; and executing the selected hypothesis thereby updating the classification model and improving the model-performance measurement by at least the predetermined target goal.
Public/Granted literature
- US20210174148A1 Accuracy of Classification Models Public/Granted day:2021-06-10
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