 | 2009 |
|---|
| 9 |       | Álvaro Barbero Jiménez,
José R. Dorronsoro:
A Simple Maximum Gain Algorithm for Support Vector Regression.
IWANN (1) 2009: 73-80 |
| 8 | | Álvaro Barbero Jiménez,
Jorge López Lázaro,
José R. Dorronsoro:
Finding optimal model parameters by deterministic and annealed focused grid search.
Neurocomputing 72(13-15): 2824-2832 (2009) |
| 7 | | Álvaro Barbero Jiménez,
Jorge López Lázaro,
José R. Dorronsoro:
Cycle-breaking acceleration of SVM training.
Neurocomputing 72(7-9): 1398-1406 (2009) |
| 2008 |
|---|
| 6 | | Jorge López Lázaro,
Álvaro Barbero Jiménez,
José R. Dorronsoro:
On the Equivalence of the SMO and MDM Algorithms for SVM Training.
ECML/PKDD (1) 2008: 288-300 |
| 5 | | Álvaro Barbero Jiménez,
Jorge López Lázaro,
José R. Dorronsoro:
An accelerated MDM algorithm for SVM training.
ESANN 2008: 421-426 |
| 4 | | Jorge López Lázaro,
Álvaro Barbero Jiménez,
José R. Dorronsoro:
Simple Clipping Algorithms for Reduced Convex Hull SVM Training.
HAIS 2008: 369-377 |
| 3 | | Álvaro Barbero Jiménez,
Jorge López Lázaro,
José R. Dorronsoro:
A 4-Vector MDM Algorithm for Support Vector Training.
ICANN (1) 2008: 315-324 |
| 2 | | Álvaro Barbero Jiménez,
Jorge López Lázaro,
José R. Dorronsoro:
Finding Optimal Model Parameters by Discrete Grid Search.
Innovations in Hybrid Intelligent Systems 2008: 120-127 |
| 2007 |
|---|
| 1 | | Álvaro Barbero Jiménez,
Jorge López Lázaro,
José R. Dorronsoro:
Square Penalty Support Vector Regression.
IDEAL 2007: 537-546 |
