Robotics & Machine Learning Daily News2024,Issue(Feb.15) :12-12.DOI:10.1007/s11042-023-18005-x

Studies from University of Windsor Yield New Data on Boltzmann Machines (Enhancing Recommender System Performance Through the Fusion of Fuzzy C-means, Restricted Boltzmann Machine, and Extreme Learning Machine)

Robotics & Machine Learning Daily News2024,Issue(Feb.15) :12-12.DOI:10.1007/s11042-023-18005-x

Studies from University of Windsor Yield New Data on Boltzmann Machines (Enhancing Recommender System Performance Through the Fusion of Fuzzy C-means, Restricted Boltzmann Machine, and Extreme Learning Machine)

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Abstract

New research on Boltzmann Machines is the subject of a report. According to news reporting out of Windsor, Canada, by NewsRx editors, research stated, “The prevalence of Recommender Systems (RS) has surged due to the widespread growth of the Internet and its related technologies. The efficiency of the RS is dependent on the quality of the underlying datasets used for training.”

Key words

Windsor/Canada/North and Central America/Boltzmann Machines/Boltzmann Machine/Emerging Technologies/Fuzzy Logic/Machine Learning/University of Windsor

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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