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Subspace identification of Hammerstein systems using least squares support vector machines

IEEE transactions on automatic control, 2005-10, Vol.50 (10), p.1509-1519

2005

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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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Handling missing values in support vector machine classifiers

Neural networks, 2005-07, Vol.18 (5), p.684-692

2005

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Additive survival least-squares support vector machines

Statistics in medicine, 2010-01, Vol.29 (2), p.296-308

2010

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Additive regularization trade-off : Fusion of training and validation levels in kernel methods

Machine learning, 2006-03, Vol.62 (3), p.217-252

2006

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Building sparse representations and structure determination on LS-SVM substrates

Neurocomputing (Amsterdam), 2005-03, Vol.64, p.137-159

2005

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Least Conservative Support and Tolerance Tubes

IEEE transactions on information theory, 2009-08, Vol.55 (8), p.3799-3806

2009

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A Convex Approach to Validation-Based Learning of the Regularization Constant

IEEE transaction on neural networks and learning systems, 2007-05, Vol.18 (3), p.917-920

2007

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Asymmetric ν-tube support vector regression

Computational statistics & data analysis, 2014-09, Vol.77, p.371-382

2014

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Identification of MIMO Hammerstein models using least squares support vector machines

Automatica (Oxford), 2005-07, Vol.41 (7), p.1263-1272

2005

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Primal-dual monotone kernel regression

Neural processing letters, 2005-10, Vol.22 (2), p.171-182

2005

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Componentwise support vector machines for structure detection

Lecture notes in computer science, 2005, p.643-648

2005

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Linear Systems, Sparse Solutions, and Sudoku

IEEE signal processing letters, 2010-01, Vol.17 (1), p.40-42

2010

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Towards an Online, Non-stochastic Approach to Fault Detection

IFAC Proceedings Volumes, 2014, Vol.47 (3), p.7361-7366

Pelckmans, K.

2014

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The differogram: Non-parametric noise variance estimation and its use for model selection

Neurocomputing (Amsterdam), 2005-12, Vol.69 (1), p.100-122

2005

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Primal-Dual Instrumental Variable Estimators

IFAC Proceedings Volumes, 2012-07, Vol.45 (16), p.334-337

Pelckmans, K.

2012

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On the Competitive Performance of Second-order Algorithms

IFAC Proceedings Volumes, 2012-07, Vol.45 (16), p.1114-1119

Pelckmans, K.

2012

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Morozov, Ivanov and Tikhonov Regularization Based LS-SVMs

Lecture notes in computer science, 2004, p.1216-1222

2004

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On the identification of monotone Wiener systems

49th IEEE Conference on Decision and Control (CDC), 2010, p.7208-7213

Pelckmans, K

2010

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Feature Selection in Survival Least Squares Support Vector Machines with Maximal Variation Constraints

Bio-Inspired Systems: Computational and Ambient Intelligence, 2009, p.65-72

2009

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An ellipsoid based, two-stage screening test for BPDN

2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO), 2012, p.654-658

2012

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Maximal variation and missing values for componentwise support vector machines

Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005, 2005, Vol.5, p.2814-2819 vol. 5

2005

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Regularization constants in LS-SVMs: a fast estimate via convex optimization

2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541), 2004, Vol.1, p.699-704

2004

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Robust Cross-Validation Score Function for Non-linear Function Estimation

Artificial Neural Networks -- ICANN 2002, 2002, Vol.2415, p.713-719

2002

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Subspace identification of Hammerstein systems using least squares support vector machines

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

Handling missing values in support vector machine classifiers

Additive survival least-squares support vector machines

Additive regularization trade-off : Fusion of training and validation levels in kernel methods

Building sparse representations and structure determination on LS-SVM substrates

Least Conservative Support and Tolerance Tubes

A Convex Approach to Validation-Based Learning of the Regularization Constant

Asymmetric ν-tube support vector regression

Identification of MIMO Hammerstein models using least squares support vector machines

Primal-dual monotone kernel regression

Componentwise support vector machines for structure detection

Linear Systems, Sparse Solutions, and Sudoku

Launching the VASCO Citizen Science Project

Towards an Online, Non-stochastic Approach to Fault Detection

The differogram: Non-parametric noise variance estimation and its use for model selection

Primal-Dual Instrumental Variable Estimators

On the Competitive Performance of Second-order Algorithms

Morozov, Ivanov and Tikhonov Regularization Based LS-SVMs

On the identification of monotone Wiener systems

Feature Selection in Survival Least Squares Support Vector Machines with Maximal Variation Constraints

An ellipsoid based, two-stage screening test for BPDN

Maximal variation and missing values for componentwise support vector machines

Regularization constants in LS-SVMs: a fast estimate via convex optimization

Robust Cross-Validation Score Function for Non-linear Function Estimation

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