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22Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLKris De Brabanter, Kristiaan Pelckmans, Jos De Brabanter, Michiel Debruyne, Johan A. K. Suykens, Mia Hubert, Bart De Moor: Robustness of Kernel Based Regression: A Comparison of Iterative Weighting Schemes. ICANN (1) 2009: 100-110
21Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLVanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel: MINLIP: Efficient Learning of Transformation Models. ICANN (1) 2009: 60-69
20Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLVanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel: Feature Selection in Survival Least Squares Support Vector Machines with Maximal Variation Constraints. IWANN (1) 2009: 65-72
2008
19Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLVanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel: Survival SVM: a practical scalable algorithm. ESANN 2008: 89-94
18Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMarco Signoretto, Kristiaan Pelckmans, Johan A. K. Suykens: Quadratically Constrained Quadratic Programming for Subspace Selection in Kernel Regression Estimation. ICANN (1) 2008: 175-184
2007
17Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLKristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor: Convex optimization for the design of learning machines. ESANN 2007: 193-204
16Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPeter Karsmakers, Kristiaan Pelckmans, Johan A. K. Suykens: Multi-class kernel logistic regression: a fixed-size implementation. IJCNN 2007: 1756-1761
15Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLKristiaan Pelckmans, Johan A. K. Suykens: Transductive Rademacher Complexities for Learning Over a Graph. MLG 2007
14Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLKristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor: A Risk Minimization Principle for a Class of Parzen Estimators. NIPS 2007
13Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLKristiaan Pelckmans, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor: Support and Quantile Tubes CoRR abs/cs/0703055: (2007)
12Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLKristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor: A Convex Approach to Validation-Based Learning of the Regularization Constant. IEEE Transactions on Neural Networks 18(3): 917-920 (2007)
2006
11Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLKristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor: Additive Regularization Trade-Off: Fusion of Training and Validation Levels in Kernel Methods. Machine Learning 62(3): 217-252 (2006)
2005
10Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLKristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor: Componentwise Support Vector Machines for Structure Detection. ICANN (2) 2005: 643-648
9Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLIvan Goethals, Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor: Identification of MIMO Hammerstein models using least squares support vector machines. Automatica 41(7): 1263-1272 (2005)
8Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLKristiaan Pelckmans, Ivan Goethals, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor: Componentwise Least Squares Support Vector Machines CoRR abs/cs/0504086: (2005)
7Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLKristiaan Pelckmans, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor: Handling missing values in support vector machine classifiers. Neural Networks 18(5-6): 684-692 (2005)
6Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLKristiaan Pelckmans, Marcelo Espinoza, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor: Primal-Dual Monotone Kernel Regression. Neural Processing Letters 22(2): 171-182 (2005)
5Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLKristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor: Building sparse representations and structure determination on LS-SVM substrates. Neurocomputing 64: 137-159 (2005)
4Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLKristiaan Pelckmans, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor: The differogram: Non-parametric noise variance estimation and its use for model selection. Neurocomputing 69(1-3): 100-122 (2005)
2004
3Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLKristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor: Sparse LS-SVMs using additive regularization with a penalized validation criterion. ESANN 2004: 435-440
2Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLKristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor: Morozov, Ivanov and Tikhonov Regularization Based LS-SVMs. ICONIP 2004: 1216-1222
2002
1Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLJos De Brabanter, Kristiaan Pelckmans, Johan A. K. Suykens, Joos Vandewalle: Robust Cross-Validation Score Function for Non-linear Function Estimation. ICANN 2002: 713-719

Coauthor Index

1Vanya Van Belle [19] [20] [21]
2Jos De Brabanter [1] [4] [6] [7] [8] [13] [22]
3Kris De Brabanter [22]
4Michiel Debruyne [22]
5Marcelo Espinoza [6]
6Ivan Goethals [8] [9]
7Mia Hubert [22]
8Sabine Van Huffel [19] [20] [21]
9Peter Karsmakers [16]
10Bart De Moor [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [17] [22]
11Marco Signoretto [18]
12Johan A. K. Suykens [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22]
13Joos Vandewalle [1]

Copyright © Fri Nov 27 15:43:12 2009 by Michael Ley (ley@uni-trier.de)