Výsledky vyhľadávania - Difference of convex functions programming problem

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  1. 1

    Difference of Convex Functions Programming With Machine-Learning Prior for the Imaging Problem in Electrical Capacitance Tomography Autor Lei, Jing, Liu, Qibin

    ISSN: 2168-2267, 2168-2275, 2168-2275
    Vydavateľské údaje: United States IEEE 01.12.2023
    Vydané v IEEE transactions on cybernetics (01.12.2023)
    “… To address this problem, this study introduces the data-guided prior and combines it with the electrical measurement mechanism and the sparsity prior to produce a new difference of convex functions…”
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    Optimality conditions and DC-Dinkelbach-type algorithm for vector fractional programming problems with ratios of difference of convex functions Autor Ghazi, A., Roubi, A.

    ISSN: 0233-1934, 1029-4945
    Vydavateľské údaje: Philadelphia Taylor & Francis 25.01.2025
    Vydané v Optimization (25.01.2025)
    “…In this work, necessary optimality conditions of KKT type for (weak) Pareto optimality are derived and a DC-Dinkelbach-type algorithm is proposed for vector fractional mathematical programs with ratios of difference of convex (DC…”
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  3. 3

    The DC (Difference of Convex Functions) Programming and DCA Revisited with DC Models of Real World Nonconvex Optimization Problems Autor An, Le Thi Hoai, Tao, Pham Dinh

    ISSN: 0254-5330, 1572-9338
    Vydavateľské údaje: New York Springer Nature B.V 01.01.2005
    Vydané v Annals of operations research (01.01.2005)
    “…The DC programming and its DC algorithm (DCA) address the problem of minimizing a function f=g-h…”
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  4. 4

    Scheduling of steelmaking-continuous casting process using deflected surrogate Lagrangian relaxation approach and DC algorithm Autor Cui, Haijuan, Luo, Xiaochuan, Wang, Yuan

    ISSN: 0360-8352, 1879-0550
    Vydavateľské údaje: Elsevier Ltd 01.02.2020
    Vydané v Computers & industrial engineering (01.02.2020)
    “… (difference of convex functions) programming problem, which can solved by using DC algorithm…”
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  5. 5

    Ordinal Regression for Direction-Related Anomaly Detection Autor Tu, Jiankai, Liu, Huan, Li, Chunguang

    ISSN: 2162-237X, 2162-2388, 2162-2388
    Vydavateľské údaje: United States IEEE 01.05.2024
    “… Typical model-based anomaly detection methods work well in general anomaly detection problems…”
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  6. 6

    A difference-of-convex functions approach for sparse PDE optimal control problems with nonconvex costs Autor Merino, Pedro

    ISSN: 0926-6003, 1573-2894
    Vydavateľské údaje: New York Springer US 01.09.2019
    “… (difference of convex functions) that is useful to obtain necessary optimality conditions and tackle its numerical solution by applying the well known DC algorithm used in nonconvex optimization problems…”
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  7. 7

    Long-Short Portfolio Optimization Under Cardinality Constraints by Difference of Convex Functions Algorithm Autor Le Thi, Hoai An, Moeini, Mahdi

    ISSN: 0022-3239, 1573-2878
    Vydavateľské údaje: Boston Springer US 01.04.2014
    “… Attempting to use DC (Difference of Convex functions) programming and DCA (DC Algorithms), an efficient approach in non-convex programming framework…”
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  8. 8

    Multiple indefinite kernel learning for feature selection Autor Xue, Hui, Song, Yu, Xu, Hai-Ming

    ISSN: 0950-7051, 1872-7409
    Vydavateľské údaje: Amsterdam Elsevier B.V 05.03.2020
    Vydané v Knowledge-based systems (05.03.2020)
    “…Multiple kernel learning for feature selection (MKL-FS) utilizes kernels to explore complex properties of features and performs better in embedded methods…”
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  9. 9

    An approach to supervised distance metric learning based on difference of convex functions programming Autor Nguyen, Bac, De Baets, Bernard

    ISSN: 0031-3203, 1873-5142
    Vydavateľské údaje: Elsevier Ltd 01.09.2018
    Vydané v Pattern recognition (01.09.2018)
    “…•DML-dc is based on difference of convex functions (DC) programming.•DML-dc uses the ramp loss function to avoid the influence of outliers…”
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  10. 10

    Feature selection for linear SVMs under uncertain data: Robust optimization based on difference of convex functions algorithms Autor Le Thi, Hoai An, Vo, Xuan Thanh, Pham Dinh, Tao

    ISSN: 0893-6080, 1879-2782, 1879-2782
    Vydavateľské údaje: Kidlington Elsevier Ltd 01.11.2014
    Vydané v Neural networks (01.11.2014)
    “… The difficulty in treating ℓ0-norm in feature selection problem is overcome by using appropriate approximations and Difference of Convex functions (DC…”
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  11. 11

    Sum-Rate Maximization in Two-Way AF MIMO Relaying: Polynomial Time Solutions to a Class of DC Programming Problems Autor Khabbazibasmenj, A., Roemer, F., Vorobyov, S. A., Haardt, M.

    ISSN: 1053-587X, 1941-0476
    Vydavateľské údaje: New York, NY IEEE 01.10.2012
    “…) relaying belongs to the class of difference-of-convex functions (DC) programming problems…”
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  12. 12

    Multi-UAV trajectory planning problem using the difference of convex function programming Autor Ngo, Anh Phuong, Thomas, Christian, Karimoddini, Ali, Nguyen, Hieu T

    ISSN: 2331-8422
    Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 02.08.2023
    Vydané v arXiv.org (02.08.2023)
    “… for individual pairs of UAVs in the swarm. In this paper, we tackle this nonconvexity by leveraging the difference of convex function (DC) programming…”
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  13. 13

    A Concave-Convex Procedure for TDOA Based Positioning Autor Gholami, Mohammad Reza, Gezici, Sinan, Strom, Erik G.

    ISSN: 1089-7798, 1558-2558, 1558-2558
    Vydavateľské údaje: New York, NY IEEE 01.04.2013
    Vydané v IEEE communications letters (01.04.2013)
    “… We consider the least-mean absolute, i.e., the ℓ 1 norm, minimization of the residual errors and formulate the positioning problem as a difference of convex functions (DC) programming…”
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    A DC programming approach for planning a multisensor multizone search for a target Autor Le Thi, Hoai An, Nguyen, Duc Manh, Pham Dinh, Tao

    ISSN: 0305-0548, 1873-765X, 0305-0548
    Vydavateľské údaje: New York Elsevier Ltd 01.01.2014
    Vydané v Computers & operations research (01.01.2014)
    “… (Difference of Convex) functions program via an exact penalty technique. DC programming and DCA (DC algorithm…”
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    Sparse Parameter-Assisted Bias-Robust Localization Based on Concave-Convex Programming Without Priors Autor Li, Fangchi, Jin, Tian, Qin, Honglei

    ISSN: 0018-9251, 1557-9603
    Vydavateľské údaje: New York IEEE 01.10.2025
    “… In this article, we propose a robust estimator that leverages the sparsity of measurement biases to address the lack of prior information and achieves position estimation based on convex-concave programming (CCP…”
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    A refined inertial DC algorithm for DC programming Autor You, Yu, Niu, Yi-Shuai

    ISSN: 1389-4420, 1573-2924
    Vydavateľské údaje: New York Springer US 01.03.2023
    Vydané v Optimization and engineering (01.03.2023)
    “…In this paper we consider the difference-of-convex (DC) programming problems, whose objective function is the difference of two convex functions…”
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  17. 17

    Block clustering based on difference of convex functions (DC) programming and DC algorithms Autor Le, Hoai Minh, Le Thi, Hoai An, Dinh, Tao Pham, Huynh, Van Ngai

    ISSN: 1530-888X, 1530-888X
    Vydavateľské údaje: United States 01.10.2013
    Vydané v Neural computation (01.10.2013)
    “…We investigate difference of convex functions (DC) programming and the DC algorithm (DCA…”
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  18. 18

    Estimating individualized treatment rules with risk constraint Autor Huang, Xinyang, Xu, Jin

    ISSN: 0006-341X, 1541-0420, 1541-0420
    Vydavateľské údaje: United States Blackwell Publishing Ltd 01.12.2020
    Vydané v Biometrics (01.12.2020)
    “…‐1 loss in the objective function and constraint, respectively, and transforms the estimation problem into a difference of convex functions (DC…”
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    Joint Spectrum and Power Allocation for NOMA Enhanced Relaying Networks Autor Wang, Qiang, Zhao, Feng

    ISSN: 2169-3536, 2169-3536
    Vydavateľské údaje: Piscataway IEEE 2019
    Vydané v IEEE access (2019)
    “… To maximize the system throughput, the joint resource allocation problem is formulated as a mixed-integer nonlinear programming problem, which is difficult to tackle in general…”
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  20. 20

    Combined SVM-Based Feature Selection and Classification Autor Neumann, Julia, Schnörr, Christoph, Steidl, Gabriele

    ISSN: 0885-6125, 1573-0565
    Vydavateľské údaje: Dordrecht Springer Nature B.V 01.11.2005
    Vydané v Machine learning (01.11.2005)
    “… To solve our optimisation problems, we apply difference of convex functions programming which is a general framework for non-convex continuous optimisation…”
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