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References from A generalized robust twin extreme learning machine for robust classification under noisy data. Local targets link to admitted publications; unresolved targets remain external evidence.
Image classification with deep learning in the presence of noisy labels: A survey
10.1016/j.knosys.2021.106771 · 2021 · External reference
Proximal alternating minimization and projection methods for nonconvex problems: An approach based on the Kurdyka-Łojasiewicz inequality
10.1287/moor.1100.0449 · 2010 · External reference
Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward backward splitting, and regularized Gauss–Seidel methods
10.1007/s10107-011-0484-9 · 2013 · External reference
Proximal alternating linearized minimization for nonconvex and nonsmooth problems
10.1007/s10107-013-0701-9 · 2014 · External reference
Distributed optimization and statistical learning via the alternating direction method of multipliers
10.1561/2200000016 · 2011 · External reference
Support-vector networks
10.1023/a:1022627411411 · 1995 · External reference
Statistical comparisons of classifiers over multiple data sets
2006 · External reference
Classification in the presence of label noise: a survey
10.1109/tnnls.2013.2292894 · 2013 · External reference
An efficient ADMM-based algorithm to nonconvex penalized support vector machines
2018 · External reference
The influence curve and its role in robust estimation
10.1080/01621459.1974.10482962 · 1974 · External reference
Support vector machine classifier with pinball loss
10.1109/tpami.2013.178 · 2013 · External reference
Extreme learning machine for regression and multiclass classification
10.1109/tsmcb.2011.2168604 · 2012 · External reference
Robust estimation of a location parameter
10.1214/aoms/1177703732 · 1964 · External reference
Maximum likelihood optimal and robust support vector regression with lncosh loss function
10.1016/j.neunet.2017.06.008 · 2017 · External reference
Laplacian Welsch regularization for robust semisupervised learning
10.1109/tcyb.2019.2953337 · 2020 · External reference
Regression quantiles
10.2307/1913643 · 1978 · External reference
Robust subspace clustering by cauchy loss function
10.1109/tnnls.2018.2876327 · 2018 · External reference
Correntropy: Properties and applications in non-Gaussian signal processing
10.1109/tsp.2007.896065 · 2007 · External reference
Multiview hessian regularization for image annotation
10.1109/tip.2013.2255302 · 2013 · External reference
Tukeys biweight M-estimate with conjugate gradient adaptive learning
10.1109/lsp.2022.3167897 · 2022 · External reference
Joint sparse regularization based sparse semi-supervised extreme learning machine (S3ELM) for classification
10.1016/j.knosys.2014.09.014 · 2015 · External reference
Capped L1-norm distance metric-based fast robust twin extreme learning machine
10.1007/s10489-020-01757-6 · 2020 · External reference
Robust supervised and semi-supervised twin extreme learning machines for pattern classification
10.1016/j.sigpro.2020.107861 · 2021 · External reference
Capped L1-norm distance metric-based fast robust twin bounded support vector machine
10.1016/j.neucom.2020.06.053 · 2020 · External reference
Unresolved reference
2019 · External reference
Proximal algorithms
10.1561/2400000003 · 2014 · External reference
Correntropy-based robust extreme learning machine for classification
10.1016/j.neucom.2018.05.100 · 2018 · External reference
Unresolved reference
1987 · External reference
Support vector machine classifier with truncated pinball loss
10.1016/j.patcog.2017.03.011 · 2017 · External reference
The C-loss function for pattern classification
10.1016/j.patcog.2013.07.017 · 2014 · External reference
Unresolved reference
1998 · External reference
Twin extreme learning machines for pattern classification
10.1016/j.neucom.2017.04.036 · 2017 · External reference
Training robust support vector machine with smooth ramp loss in the primal space
10.1016/j.neucom.2007.12.032 · 2008 · External reference
Fast truncated huber loss SVM for large scale classification
10.1016/j.knosys.2022.110074 · 2023 · External reference
Fast generalized ramp loss support vector machine for pattern classification
10.1016/j.patcog.2023.109987 · 2024 · External reference
Proximal operator and optimality conditions for ramp loss SVM
10.1007/s11590-021-01756-7 · 2022 · External reference
Support vector machine classifier via L0/1 soft-margin loss
10.1109/tpami.2021.3092177 · 2021 · External reference
A robust outlier control framework for classification designed with family of homotopy loss function
10.1016/j.neunet.2019.01.013 · 2019 · External reference
Sparse and robust support vector machine with capped squared loss for large-scale pattern classification
10.1016/j.patcog.2024.110544 · 2024 · External reference
A new fast ADMM for kernelless SVM classifier with truncated fraction loss
10.1016/j.knosys.2023.111214 · 2024 · External reference
Hybrid huberized support vector machines for microarray classification
2018 · External reference
Robust truncated hinge loss support vector machines
10.1198/016214507000000617 · 2007 · External reference
Robust Fisher-regularized extreme learning machine with asymmetric welsch-induced loss function for classification
10.1007/s10489-024-05528-5 · 2024 · External reference
Capped L2,P-norm metric based robust least squares twin support vector machine for pattern classification
10.1016/j.neunet.2021.06.028 · 2021 · External reference
Robust twin extreme learning machines with correntropy-based metric
10.1016/j.knosys.2020.106707 · 2021 · External reference
Discriminative elastic-net regularized linear regression
10.1109/tip.2017.2651396 · 2017 · External reference
Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward backward splitting, and regularized Gauss–Seidel methods
10.1007/s10107-011-0484-9 · ExternalCitation · doi-reference
Proximal alternating linearized minimization for nonconvex and nonsmooth problems
10.1007/s10107-013-0701-9 · ExternalCitation · doi-reference
Capped L1-norm distance metric-based fast robust twin extreme learning machine
10.1007/s10489-020-01757-6 · ExternalCitation · doi-reference
Robust Fisher-regularized extreme learning machine with asymmetric welsch-induced loss function for classification
10.1007/s10489-024-05528-5 · ExternalCitation · doi-reference
Proximal operator and optimality conditions for ramp loss SVM
10.1007/s11590-021-01756-7 · ExternalCitation · doi-reference
Joint sparse regularization based sparse semi-supervised extreme learning machine (S3ELM) for classification
10.1016/j.knosys.2014.09.014 · ExternalCitation · doi-reference
Robust twin extreme learning machines with correntropy-based metric
10.1016/j.knosys.2020.106707 · ExternalCitation · doi-reference
Image classification with deep learning in the presence of noisy labels: A survey
10.1016/j.knosys.2021.106771 · ExternalCitation · doi-reference
Fast truncated huber loss SVM for large scale classification
10.1016/j.knosys.2022.110074 · ExternalCitation · doi-reference
A new fast ADMM for kernelless SVM classifier with truncated fraction loss
10.1016/j.knosys.2023.111214 · ExternalCitation · doi-reference
Training robust support vector machine with smooth ramp loss in the primal space
10.1016/j.neucom.2007.12.032 · ExternalCitation · doi-reference
Twin extreme learning machines for pattern classification
10.1016/j.neucom.2017.04.036 · ExternalCitation · doi-reference
Correntropy-based robust extreme learning machine for classification
10.1016/j.neucom.2018.05.100 · ExternalCitation · doi-reference
Capped L1-norm distance metric-based fast robust twin bounded support vector machine
10.1016/j.neucom.2020.06.053 · ExternalCitation · doi-reference
Maximum likelihood optimal and robust support vector regression with lncosh loss function
10.1016/j.neunet.2017.06.008 · ExternalCitation · doi-reference
A robust outlier control framework for classification designed with family of homotopy loss function
10.1016/j.neunet.2019.01.013 · ExternalCitation · doi-reference
Capped L2,P-norm metric based robust least squares twin support vector machine for pattern classification
10.1016/j.neunet.2021.06.028 · ExternalCitation · doi-reference
The C-loss function for pattern classification
10.1016/j.patcog.2013.07.017 · ExternalCitation · doi-reference
Support vector machine classifier with truncated pinball loss
10.1016/j.patcog.2017.03.011 · ExternalCitation · doi-reference
Fast generalized ramp loss support vector machine for pattern classification
10.1016/j.patcog.2023.109987 · ExternalCitation · doi-reference
Sparse and robust support vector machine with capped squared loss for large-scale pattern classification
10.1016/j.patcog.2024.110544 · ExternalCitation · doi-reference
Robust supervised and semi-supervised twin extreme learning machines for pattern classification
10.1016/j.sigpro.2020.107861 · ExternalCitation · doi-reference
Support-vector networks
10.1023/a:1022627411411 · ExternalCitation · doi-reference
The influence curve and its role in robust estimation
10.1080/01621459.1974.10482962 · ExternalCitation · doi-reference
Tukeys biweight M-estimate with conjugate gradient adaptive learning
10.1109/lsp.2022.3167897 · ExternalCitation · doi-reference
Laplacian Welsch regularization for robust semisupervised learning
10.1109/tcyb.2019.2953337 · ExternalCitation · doi-reference
Multiview hessian regularization for image annotation
10.1109/tip.2013.2255302 · ExternalCitation · doi-reference
Discriminative elastic-net regularized linear regression
10.1109/tip.2017.2651396 · ExternalCitation · doi-reference
Classification in the presence of label noise: a survey
10.1109/tnnls.2013.2292894 · ExternalCitation · doi-reference
Robust subspace clustering by cauchy loss function
10.1109/tnnls.2018.2876327 · ExternalCitation · doi-reference
Support vector machine classifier with pinball loss
10.1109/tpami.2013.178 · ExternalCitation · doi-reference
Support vector machine classifier via L0/1 soft-margin loss
10.1109/tpami.2021.3092177 · ExternalCitation · doi-reference
Extreme learning machine for regression and multiclass classification
10.1109/tsmcb.2011.2168604 · ExternalCitation · doi-reference
Correntropy: Properties and applications in non-Gaussian signal processing
10.1109/tsp.2007.896065 · ExternalCitation · doi-reference
Robust truncated hinge loss support vector machines
10.1198/016214507000000617 · ExternalCitation · doi-reference
Robust estimation of a location parameter
10.1214/aoms/1177703732 · ExternalCitation · doi-reference
Proximal alternating minimization and projection methods for nonconvex problems: An approach based on the Kurdyka-Łojasiewicz inequality
10.1287/moor.1100.0449 · ExternalCitation · doi-reference
Distributed optimization and statistical learning via the alternating direction method of multipliers
10.1561/2200000016 · ExternalCitation · doi-reference
Proximal algorithms
10.1561/2400000003 · ExternalCitation · doi-reference
Regression quantiles
10.2307/1913643 · ExternalCitation · doi-reference
