Tony Van Gestel
Tony Van Gestel
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Least squares support vector machines
JAK Suykens, T Van Gestel, J De Brabanter
World scientific, 2002
50552002
Least squares support vector machines
JAK Suykens, T Van Gestel, J De Brabanter
World scientific, 2002
50552002
Least squares support vector machines
JAK Suykens, T Van Gestel, J De Brabanter
World scientific, 2002
50552002
Least squares support vector machines
JAK Suykens, T Van Gestel, J De Brabanter
World scientific, 2002
50552002
Benchmarking state-of-the-art classification algorithms for credit scoring
B Baesens, T Van Gestel, S Viaene, M Stepanova, J Suykens, ...
Journal of the operational research society 54 (6), 627-635, 2003
9882003
Benchmarking least squares support vector machine classifiers
T Van Gestel, JAK Suykens, B Baesens, S Viaene, J Vanthienen, ...
Machine learning 54 (1), 5-32, 2004
8172004
Financial time series prediction using least squares support vector machines within the evidence framework
T Van Gestel, JAK Suykens, DE Baestaens, A Lambrechts, G Lanckriet, ...
IEEE Transactions on neural networks 12 (4), 809-821, 2001
6832001
Comprehensible credit scoring models using rule extraction from support vector machines
D Martens, B Baesens, T Van Gestel, J Vanthienen
European journal of operational research 183 (3), 1466-1476, 2007
4622007
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
3812002
Bayesian framework for least-squares support vector machine classifiers, Gaussian processes, and kernel Fisher discriminant analysis
TV Gestel, JAK Suykens, G Lanckriet, A Lambrechts, BD Moor, ...
Neural computation 14 (5), 1115-1147, 2002
3602002
Credit Risk Management: Basic concepts: Financial risk components, Rating analysis, models, economic and regulatory capital
T Van Gestel, B Baesens
OUP Oxford, 2008
2972008
Bayesian kernel based classification for financial distress detection
T Van Gestel, B Baesens, JAK Suykens, D Van den Poel, DE Baestaens, ...
European journal of operational research 172 (3), 979-1003, 2006
2002006
A support vector machine formulation to PCA analysis and its kernel version
JAK Suykens, T Van Gestel, J Vandewalle, B De Moor
IEEE Transactions on neural networks 14 (2), 447-450, 2003
1812003
Decompositional rule extraction from support vector machines by active learning
D Martens, BB Baesens, T Van Gestel
IEEE Transactions on Knowledge and Data Engineering 21 (2), 178-191, 2008
1592008
Neural network survival analysis for personal loan data
B Baesens, T Van Gestel, M Stepanova, D Van den Poel, J Vanthienen
Journal of the Operational Research Society 56 (9), 1089-1098, 2005
1342005
Inferring descriptive and approximate fuzzy rules for credit scoring using evolutionary algorithms
F Hoffmann, B Baesens, C Mues, T Van Gestel, J Vanthienen
European journal of operational research 177 (1), 540-555, 2007
1162007
Identification of stable models in subspace identification by using regularization
T Van Gestel, JAK Suykens, P Van Dooren, B De Moor
IEEE Transactions on Automatic control 46 (9), 1416-1420, 2001
1062001
Identification of stable models in subspace identification by using regularization
T Van Gestel, JAK Suykens, P Van Dooren, B De Moor
IEEE Transactions on Automatic control 46 (9), 1416-1420, 2001
1062001
Preoperative prediction of malignancy of ovarian tumors using least squares support vector machines
C Lu, T Van Gestel, JAK Suykens, S Van Huffel, I Vergote, D Timmerman
Artificial Intelligence in Medicine 28 (3), 281-306, 2003
972003
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
822003
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Artikelen 1–20