| Finding optimal model parameters by discrete grid search ÁB Jiménez, JL Lázaro, JR Dorronsoro Innovations in hybrid intelligent systems, 120-127, 2008 | 94 | 2008 |
| Finding optimal model parameters by deterministic and annealed focused grid search ÁB Jiménez, JL Lázaro, JR Dorronsoro Neurocomputing 72 (13-15), 2824-2832, 2009 | 57 | 2009 |
| Improving cash logistics in bank branches by coupling machine learning and robust optimization JL Lázaro, ÁB Jiménez, A Takeda Expert Systems With Applications 92, 236-255, 2018 | 44 | 2018 |
| Simple proof of convergence of the SMO algorithm for different SVM variants J Lopez, JR Dorronsoro IEEE Transactions on Neural Networks and Learning Systems 23 (7), 1142-1147, 2012 | 40 | 2012 |
| Sparse LSSVMs with L0-norm minimization J Lopez, K De Brabanter, JR Dorronsoro, JAK Suykens Proceedings of the European symposium on artificial neural networks …, 2011 | 33* | 2011 |
| On the equivalence of the SMO and MDM algorithms for SVM training J López, Á Barbero, JR Dorronsoro Machine Learning and Knowledge Discovery in Databases: European Conference …, 2008 | 33 | 2008 |
| First and second order SMO algorithms for LS-SVM classifiers J López, JAK Suykens Neural Processing Letters 33, 31-44, 2011 | 32 | 2011 |
| Clipping algorithms for solving the nearest point problem over reduced convex hulls J López, Á Barbero, JR Dorronsoro Pattern Recognition 44 (3), 607-614, 2011 | 30 | 2011 |
| An accelerated MDM algorithm for SVM training A Barbero, J López, JR Dorronsoro Advances in Computational Intelligence and Learning, Proceedings of ESANN …, 2008 | 16 | 2008 |
| Geometric intuition and algorithms for Eν–SVM A Barbero, A Takeda, J López Journal of Machine Learning Research 16 (323-369), 2015 | 15 | 2015 |
| Cycle-breaking acceleration of SVM training Á Barbero, J López, JR Dorronsoro Neurocomputing 72 (7-9), 1398-1406, 2009 | 13 | 2009 |
| Linear convergence rate for the mdm algorithm for the nearest point problem J López, JR Dorronsoro Pattern Recognition 48 (4), 1510-1522, 2015 | 11 | 2015 |
| A common framework for the convergence of the GSK, MDM and SMO algorithms J López, JR Dorronsoro International Conference on Artificial Neural Networks, 82-87, 2010 | 11 | 2010 |
| Kernel methods for wide area wind power forecasting Á Barbero, J López, JR Dorronsoro Proceedings of the European Wind Energy Conference and Exhibition (EWEC 2008 …, 2008 | 11 | 2008 |
| A simple proof of the convergence of the SMO algorithm for linearly separable problems J López, JR Dorronsoro Artificial Neural Networks–ICANN 2009: 19th International Conference …, 2009 | 9 | 2009 |
| Momentum acceleration of least–squares support vector machines J López, Á Barbero, JR Dorronsoro Artificial Neural Networks and Machine Learning–ICANN 2011: 21st …, 2011 | 7 | 2011 |
| An MDM solver for the nearest point problem in Scaled Convex Hulls J López, Á Barbero, JR Dorronsoro The 2010 International Joint Conference on Neural Networks (IJCNN), 1-8, 2010 | 7 | 2010 |
| A 4–vector mdm algorithm for support vector training Á Barbero, J López, JR Dorronsoro International Conference on Artificial Neural Networks, 315-324, 2008 | 6 | 2008 |
| On the relationship among the MDM, SMO and SVM-Light algorithms for Training Support Vector Machines J López Master's thesis. Universidad Autonoma de Madrid 54, 2008 | 6 | 2008 |
| Analysis and convergence of SMO-like decomposition and geometrical algorithms for support vector machines JL Lázaro Universidad Autónoma de Madrid, 2011 | 5 | 2011 |
jose dorronsorouam在 uam.es 的电子邮件经过验证
