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Support Vector Machine Classifier With Pinball Loss

IEEE transactions on pattern analysis and machine intelligence, 2014-05, Vol.36 (5), p.984-997

2014

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Explaining Support Vector Machines: A Color Based Nomogram

PloS one, 2016-10, Vol.11 (10), p.e0164568-e0164568

2016

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Concurrent monitoring of operating condition deviations and process dynamics anomalies with slow feature analysis

AIChE journal, 2015-11, Vol.61 (11), p.3666-3682

2015

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Application of Kernel Principal Component Analysis for Single-Lead-ECG-Derived Respiration

IEEE transactions on biomedical engineering, 2012-04, Vol.59 (4), p.1169-1176

2012

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Robust Support Vector Machines for Classification with Nonconvex and Smooth Losses

Neural computation, 2016-06, Vol.28 (6), p.1217-1247

2016

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Reducing the Number of Support Vectors of SVM Classifiers Using the Smoothed Separable Case Approximation

IEEE transaction on neural networks and learning systems, 2012-04, Vol.23 (4), p.682-688

2012

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Learning with tensors: a framework based on convex optimization and spectral regularization

Machine learning, 2014-03, Vol.94 (3), p.303-351

2014

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Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA

IEEE transactions on pattern analysis and machine intelligence, 2010-02, Vol.32 (2), p.335-347

2010

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Optimized Data Fusion for Kernel k-Means Clustering

IEEE transactions on pattern analysis and machine intelligence, 2012-05, Vol.34 (5), p.1031-1039

2012

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Parallelized Tensor Train Learning of Polynomial Classifiers

IEEE transaction on neural networks and learning systems, 2018-10, Vol.29 (10), p.4621-4632

2018

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A tutorial on support vector machine-based methods for classification problems in chemometrics

Analytica chimica acta, 2010-04, Vol.665 (2), p.129-145

2010

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Coupled Simulated Annealing

IEEE transactions on cybernetics, 2010-04, Vol.40 (2), p.320-335

2010

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Approximate Solutions to Ordinary Differential Equations Using Least Squares Support Vector Machines

IEEE transaction on neural networks and learning systems, 2012-09, Vol.23 (9), p.1356-1367

2012

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Functional form estimation using oblique projection matrices for LS-SVM regression models

PloS one, 2019-06, Vol.14 (6), p.e0217967-e0217967

2019

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Kernelized Elastic Net Regularization: Generalization Bounds, and Sparse Recovery

Neural computation, 2016-03, Vol.28 (3), p.525-562

2016

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Deep Restricted Kernel Machines Using Conjugate Feature Duality

Neural computation, 2017-08, Vol.29 (8), p.2123-2163

Suykens, Johan A. K

2017

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Systematic benchmarking of microarray data classification: assessing the role of non-linearity and dimensionality reduction

Bioinformatics, 2004-11, Vol.20 (17), p.3185-3195

2004

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Netgram: Visualizing Communities in Evolving Networks

PloS one, 2015-09, Vol.10 (9), p.e0137502-e0137502

2015

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Multilevel hierarchical kernel spectral clustering for real-life large scale complex networks

PloS one, 2014-06, Vol.9 (6), p.e99966-e99966

2014

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Transductive Feature Selection Using Clustering-Based Sample Entropy for Temperature Prediction in Weather Forecasting

Entropy (Basel, Switzerland), 2018-04, Vol.20 (4), p.264

2018

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Transductive LSTM for time-series prediction: An application to weather forecasting

Neural networks, 2020-05, Vol.125, p.1-9

2020

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Correntropy Based Matrix Completion

Entropy (Basel, Switzerland), 2018-03, Vol.20 (3), p.171

2018

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Improved performance on high-dimensional survival data by application of Survival-SVM

Bioinformatics, 2011-01, Vol.27 (1), p.87-94

2011

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Robust Low-Rank Tensor Recovery With Regularized Redescending M-Estimator

IEEE transaction on neural networks and learning systems, 2016-09, Vol.27 (9), p.1933-1946

2016

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Enhanced ocean carbon storage from anaerobic alkalinity generation in coastal sediments

Biogeosciences, 2009-01, Vol.6 (2), p.267-274

2009

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Support Vector Machine Classifier With Pinball Loss

Explaining Support Vector Machines: A Color Based Nomogram

Concurrent monitoring of operating condition deviations and process dynamics anomalies with slow feature analysis

Application of Kernel Principal Component Analysis for Single-Lead-ECG-Derived Respiration

Robust Support Vector Machines for Classification with Nonconvex and Smooth Losses

Reducing the Number of Support Vectors of SVM Classifiers Using the Smoothed Separable Case Approximation

Learning with tensors: a framework based on convex optimization and spectral regularization

Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA

Optimized Data Fusion for Kernel k-Means Clustering

Parallelized Tensor Train Learning of Polynomial Classifiers

A tutorial on support vector machine-based methods for classification problems in chemometrics

Coupled Simulated Annealing

Approximate Solutions to Ordinary Differential Equations Using Least Squares Support Vector Machines

Functional form estimation using oblique projection matrices for LS-SVM regression models

Kernelized Elastic Net Regularization: Generalization Bounds, and Sparse Recovery

Deep Restricted Kernel Machines Using Conjugate Feature Duality

Systematic benchmarking of microarray data classification: assessing the role of non-linearity and dimensionality reduction

Netgram: Visualizing Communities in Evolving Networks

Multilevel hierarchical kernel spectral clustering for real-life large scale complex networks

Transductive Feature Selection Using Clustering-Based Sample Entropy for Temperature Prediction in Weather Forecasting

Transductive LSTM for time-series prediction: An application to weather forecasting

Correntropy Based Matrix Completion

Improved performance on high-dimensional survival data by application of Survival-SVM

Robust Low-Rank Tensor Recovery With Regularized Redescending M-Estimator

Enhanced ocean carbon storage from anaerobic alkalinity generation in coastal sediments

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