يعرض 1 - 20 نتائج من 329 نتيجة بحث عن '_ multivariable detection algorithm', وقت الاستعلام: 0.14s تنقيح النتائج
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    Bayesian Hierarchical Model for Change Point Detection in Multivariate Sequences حسب Huaqing Jin (10796187)

    منشور في 2021
    "…<p>Motivated by the wind turbine anomaly detection, we propose a Bayesian hierarchical model (BHM) for the mean-change detection in multivariate sequences. …"
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    Multivariate analysis of . حسب Yanyan Dong (1304145)

    منشور في 2025
    "…The collected inputs are explored using fuzzy systems that use the multivariate and salp optimization algorithm at every step to improve the overall system efficiency. …"
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    Influential Observations Detection by Random Projection in High-Dimensional Multivariate Response Linear Model حسب Chao Liu (43092)

    منشور في 2025
    "…A Multivariate Response Influential Point (MRIP) detection algorithm is proposed based on a novel random projection method, which takes into account the dependence among the responses. …"
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    Projection Pursuit Based on Gaussian Mixtures and Evolutionary Algorithms حسب Luca Scrucca (6532571)

    منشور في 2021
    "…We show that this semiparametric approach to PP is flexible and allows highly informative structures to be detected, by projecting multivariate datasets onto a subspace, where the data can be feasibly visualized. …"
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    Values misclassified by the CART algorithm. حسب Anne Wojtanowski (17507992)

    منشور في 2024
    "…HRV parameters were computed over several time periods before and after T0 and classified as “BIS<sup>TM</sup><60” or “BIS<sup>TM</sup>≥60”. A multivariate logistic regression model and a classification and regression tree algorithm were used to evaluate the HRV variables’ ability to detect “BIS<sup>TM</sup>≥60”. …"
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    Finite Mixtures of Multivariate Contaminated Normal Censored Regression Models حسب Tsung-I Lin (6908660)

    منشور في 2025
    "…Importantly, the AECM algorithm serves a dual role by not only facilitating parameter estimation but also providing methods to recover censored measurements and detect outlier data points as a by-product when it converges. …"
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