Search Results - "Difference of convex functions algorithm"

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  1. 1

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

    ISSN: 1270-9638, 1626-3219
    Published: Elsevier Masson SAS 01.09.2019
    Published in 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 by Chen, Guanhua, Zeng, Donglin, Kosorok, Michael R.

    ISSN: 0162-1459, 1537-274X, 1537-274X
    Published: 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 by Fong, Youyi, Yin, Shuxin, Huang, Ying

    ISSN: 0277-6715, 1097-0258
    Published: England Blackwell Publishing Ltd 20.09.2016
    Published in 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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    Journal Article
  4. 4

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

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 07.10.2014
    Published in 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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    Paper
  5. 5

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

    ISSN: 0885-7474, 1573-7691
    Published: New York Springer US 01.09.2016
    Published in 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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    Journal Article