Výsledky vyhledávání - "Difference of convex functions algorithms"

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  1. 1

    Unknown-but-bounded uncertainty propagation in spacecraft structural system: Interval reduced basis method and its integrated framework Autor Lyu, Zheng, Yang, Yaowen, Xia, Haijun

    ISSN: 1270-9638, 1626-3219
    Vydáno: Elsevier Masson SAS 01.09.2019
    Vydáno v Aerospace science and technology (01.09.2019)
    “…Uncertainty propagation analysis is a key issue for the safety and optimal design of spacecraft structures. This paper proposes an interval reduced basis…”
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    Journal Article
  2. 2

    Personalized Dose Finding Using Outcome Weighted Learning Autor Chen, Guanhua, Zeng, Donglin, Kosorok, Michael R.

    ISSN: 0162-1459, 1537-274X, 1537-274X
    Vydáno: United States Taylor & Francis 01.12.2016
    “… To estimate the optimal IDR using such data, we propose an outcome weighted learning method based on a nonconvex loss function, which can be solved efficiently using a difference of convex functions algorithm…”
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    Journal Article
  3. 3

    Combining biomarkers linearly and nonlinearly for classification using the area under the ROC curve Autor Fong, Youyi, Yin, Shuxin, Huang, Ying

    ISSN: 0277-6715, 1097-0258
    Vydáno: England Blackwell Publishing Ltd 20.09.2016
    Vydáno v Statistics in medicine (20.09.2016)
    “…In biomedical studies, it is often of interest to classify/predict a subject's disease status based on a variety of biomarker measurements…”
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  4. 4

    Point Source Super-resolution Via Non-convex L1 Based Methods Autor Lou, Yifei, Yin, Penghang, Xin, Jack

    ISSN: 0885-7474, 1573-7691
    Vydáno: New York Springer US 01.09.2016
    Vydáno v Journal of scientific computing (01.09.2016)
    “… ), subject to the measurement constraints. In one and two dimensional numerical SR examples, the local optimal solutions from difference of convex function algorithms…”
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  5. 5

    PhaseLiftOff: an Accurate and Stable Phase Retrieval Method Based on Difference of Trace and Frobenius Norms Autor Yin, Penghang, Xin, Jack

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 07.10.2014
    Vydáno v arXiv.org (07.10.2014)
    “… The quadratic measurement becomes linear in terms of the rank-one matrix \(X = x x^*\). Phase retrieval is then a rank-one minimization problem subject to linear constraint for which a convex relaxation based on trace-norm minimization (PhaseLift…”
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