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probabilistic committee machine
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Select article: A new framework for intelligent simultaneous-fault diagnosis of rotating machinery using pairwise-coupled sparse Bayesian extreme learning committee machine
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Research article
First published March, 2017
A new framework for intelligent simultaneous-fault diagnosis of rotating machinery using pairwise-coupled sparse Bayesian extreme learning committee machine
Pak Kin Wong,
Jian-Hua Zhong,
Zhi-Xin Yang
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Proceedings of the Institution of Mechanical Engineers,Part C: Journal of Mechanical Engineering Science
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Select article: Exploring Tree-Based Machine Learning Models to Estimate the Ultimate Pile Capacity From Cone Penetration Test Data
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Research article
First published January, 2024
Exploring Tree-Based Machine Learning Models to Estimate the Ultimate Pile Capacity From Cone Penetration Test Data
Mohammad Moontakim Shoaib,
Murad Y. Abu-Farsakh
Transportation Research Record: Journal of the Transportation Research Board
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