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    Novel Sparse Bayesian Learning and Its Application to Ground Motion Pattern Recognition 

    Source: Journal of Computing in Civil Engineering:;2017:;Volume ( 031 ):;issue: 005
    Author(s): He-Qing Mu; Ka-Veng Yuen
    Publisher: American Society of Civil Engineers
    Abstract: A novel sparse Bayesian learning for correlated error (SBL-CE) algorithm is proposed to automatically search for an optimal model class with relevance features in regression problems of pattern recognition based on measured ...
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    Stable Robust Extended Kalman Filter 

    Source: Journal of Aerospace Engineering:;2017:;Volume ( 030 ):;issue: 002
    Author(s): He-Qing Mu; Sin-Chi Kuok; Ka-Veng Yuen
    Publisher: American Society of Civil Engineers
    Abstract: In this paper, a stable and robust filter is proposed for structural identification. This filter resolves the instability problems of the traditional extended Kalman filter (EKF). Instead of ad hoc assignment of the noise ...
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    Bayesian Learning–Based Data Analysis of Uniaxial Compressive Strength of Rock: Relevance Feature Selection and Prediction Reliability Assessment 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2020:;Volume ( 006 ):;issue: 001
    Author(s): He-Qing Mu; Ka-Veng Yuen
    Publisher: ASCE
    Abstract: Estimation on the uniaxial compressive strength (UCS) of rock is an important issue in geotechnical engineering. Empirical relation establishment for UCS estimation is particularly favorable since core sample measurement ...
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    DSpace software copyright © 2002-2015  DuraSpace
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