Robust Support Vector Regression Networks For Function Approximation With Outliers

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Robust support vector regression networks for function ...

    https://www.researchgate.net/publication/5606724_Robust_support_vector_regression_networks_for_function_approximation_with_outliers
    Robust support vector regression networks for function approximation with outliers Article (PDF Available) in IEEE Transactions on Neural Networks 13(6):1322-30 · February 2002 with 350 Reads

Robust support vector regression networks for function ...

    https://ieeexplore.ieee.org/document/1058069/
    Dec 10, 2002 · Robust support vector regression networks for function approximation with outliers Abstract: Support vector regression (SVR) employs the support vector machine (SVM) to tackle problems of function approximation and regression estimation. SVR has been shown to have good robust properties against noise. When the parameters used in SVR are ...Cited by: 225

Robust support vector regression networks for function ...

    https://pdfs.semanticscholar.org/4ee5/e4d114d71c68f1f444da0698f7437e880c24.pdf
    Robust Support Vector Regression Networks for Function Approximation With Outliers Chen-Chia Chuang, Shun-Feng Su, Member, IEEE, Jin-Tsong Jeng, Member, IEEE, and Chih-Ching Hsiao Abstract— Support vector regression (SVR) employs the sup-port vector machine (SVM) to tackle problems of function approx-imation and regression estimation.

Robust Support Vector Regression with Flexible Loss Function

    https://pdfs.semanticscholar.org/f3b2/2e5f5c5c5ed8a337e61f41d28f43f3c7cf98.pdf
    In the interest of deriving regressor that is robust to outliers, we propose a support vector regression (SVR) based on non-convex quadratic insensitive loss function with flexible coefficient and margin. The proposed loss function can be approximated by a difference of convex functions (DC). The resultant optimization is a DC program.

Hybrid robust support vector machines for regression with ...

    https://www.sciencedirect.com/science/article/pii/S1568494609002075
    Because outliers in the training data set are removed, the concept of robust statistic is not needed in the later stage. Then, the training data set except for outliers is used to training the non-robust least squares support vector machines for regression or the non-robust support vector regression networks in stage II.Cited by: 69

A rough-based robust support vector regression network for ...

    https://www.researchgate.net/publication/221358826_A_rough-based_robust_support_vector_regression_network_for_function_approximation
    A rough-based robust support vector regression network for function approximation Conference Paper in IEEE International Conference on Fuzzy Systems · June 2011 with 8 …



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