Robotics & Machine Learning Daily News2024,Issue(Aug.23) :66-66.

New Artificial Intelligence Study Findings Have Been Reported by Investigators a t University of Michigan (Shapley-based Explainable Ai for Clustering Applicatio ns In Fault Diagnosis and Prognosis)

Robotics & Machine Learning Daily News2024,Issue(Aug.23) :66-66.

New Artificial Intelligence Study Findings Have Been Reported by Investigators a t University of Michigan (Shapley-based Explainable Ai for Clustering Applicatio ns In Fault Diagnosis and Prognosis)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ar tificial Intelligence. According to news reportingoriginating from Ann Arbor, M ichigan, by NewsRx correspondents, research stated, “Data-driven artificialinte lligence models require explainability in intelligent manufacturing to streamlin e adoption and trustin modern industry. However, recently developed explainable artificial intelligence (XAI) techniques thatestimate feature contributions on a model-agnostic level such as SHapley Additive exPlanations (SHAP)have not ye t been evaluated for semi-supervised fault diagnosis and prognosis problems char acterized byclass imbalance and weakly labeled datasets.”

Key words

Ann Arbor/Michigan/United States/Nort h and Central America/Artificial Intelligence/Emerging Technologies/Machine L earning/University of Michigan

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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