LS-SVMlab: a matlab/c toolbox for least squares support vector machines K Pelckmans, JAK Suykens, T Van Gestel, J De Brabanter, L Lukas, ... Tutorial. KULeuven-ESAT. Leuven, Belgium 142 (1-2), 2002 | 442 | 2002 |
LS-SVMlab toolbox user’s guide K Pelckmans, JAK Suykens, T Van Gestel, J De Brabanter, L Lukas, ... Pattern recognition letters 24 (2003), 659-675, 2003 | 86 | 2003 |
LS-SVMlab toolbox user’s guide version 1.5 K Pelckmans, JAK Suykens, T Van Gestel, J De Brabanter, L Lukas, ... Katholiede Univeristeit Leuven, Belgium, unpublished. Available http://www …, 2003 | 60 | 2003 |
An overview and framework for PD backtesting and benchmarking G Castermans, D Martens, TV Gestel, B Hamers, B Baesens Journal of the Operational research society 61, 359-373, 2010 | 49 | 2010 |
Compactly supported RBF kernels for sparsifying the gram matrix in LS-SVM regression models B Hamers, JAK Suykens, B De Moor Artificial Neural Networks—ICANN 2002: International Conference Madrid …, 2002 | 26 | 2002 |
A Matlab/c toolbox for least square support vector machines K Pelckmans, J Suykens, T Gestel, J Brabanter, L Lukas, B Hamers, ... ESATSCD-SISTA technical report, 02-145, 2002 | 20 | 2002 |
A comparison of iterative methods for least squares support vector machine classifiers B Hamers, JAK Suykens, B De Moor Internal Report 01-110, ESAT-SISTA, KU Leuven (Leuven, Belgium), 2001 | 20 | 2001 |
A novel approach to the evaluation and improvement of data quality in the financial sector. K Dejaeger, B Hamers, J Poelmans, B Baesens ICIQ, 2010 | 19 | 2010 |
Ensemble learning of coupled parameterized kernel models B Hamers, JAK Suykens, V Leemans, B De Moor Supplementary Proc. of the International Conference on Artificial Neural …, 2003 | 12 | 2003 |
Kernel models for large scale applications B Hamers | 11 | 2004 |
LS-SVMlab toolbox K Pelckmans, JAK Suykens, T Van Gestel, J De Brabanter, L Lukas, ... University of Leuven, Belgium, 2003 | 11 | 2003 |
LS-SVMlab1. 5: Least squares support vector machines K Pelckmans, JAK Suykens, TV Gestel, JD Brabanter, L Lukas, B Hamers, ... Katholieke University Leuven, Belgium, 2003 | 7 | 2003 |
Coupled transductive ensemble learning of kernel models B Hamers, JAK Suykens, B De Moor Journal of Machine Learning Research 1, 1-48, 2003 | 7 | 2003 |
Internal Report 02-44, ESAT-SISTA K Pelckmans, JAK Suykens, T Van Gestel, J De Brabanter, L Lukas, ... KU Leuven, 2002 | 7 | 2002 |
& Vandewalle, J.(2002) K Pelckmans, JA Suykens, T Van Gestel, J De Brabanter, L Lukas, ... LS-SVMlab: a matlab/c toolbox for least squares support vector machines …, 0 | 3 | |
Quantitative Validation: An Overview and Framework for PD Backtesting and Benchmarking G Castermans, D Martens, T Van Gestel, B Hamers, B Baesens Conference Proceedings 2007, Credit Scoring & Credit Control X, 2007 | 1 | 2007 |
Kernel Models for Large Scale Applications B De Moor, B Hamers | 1 | 2004 |
Evaluatie en verbetering van de datakwaliteit K Dejaeger, J Ruelens, T Van Gestel, J Jacobs, B Baesens, J Poelmans, ... Informatie 51 (9), 8-15, 2009 | | 2009 |