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Jorge López Lázaro
2010 – 2019
- 2018
- [j8]Jorge López Lázaro, Álvaro Barbero Jiménez, Akiko Takeda:
Improving cash logistics in bank branches by coupling machine learning and robust optimization. Expert Syst. Appl. 92: 236-255 (2018) - 2015
- [j7]Álvaro Barbero Jiménez, Akiko Takeda, Jorge López Lázaro:
Geometric intuition and algorithms for Ev-SVM. J. Mach. Learn. Res. 16: 323-369 (2015) - [j6]Jorge López Lázaro, José R. Dorronsoro:
Linear convergence rate for the MDM algorithm for the Nearest Point Problem. Pattern Recognit. 48(4): 1510-1522 (2015) - 2013
- [c15]Jorge López Lázaro, José R. Dorronsoro:
The convergence rate of linearly separable SMO. IJCNN 2013: 1-7 - 2012
- [j5]Jorge López Lázaro, José R. Dorronsoro:
Simple Proof of Convergence of the SMO Algorithm for Different SVM Variants. IEEE Trans. Neural Networks Learn. Syst. 23(7): 1142-1147 (2012) - [c14]Jorge López Lázaro, José R. Dorronsoro:
The convergence rate of the MDM algorithm. IJCNN 2012: 1-7 - 2011
- [j4]Jorge López Lázaro, Johan A. K. Suykens
:
First and Second Order SMO Algorithms for LS-SVM Classifiers. Neural Process. Lett. 33(1): 31-44 (2011) - [j3]Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro:
Clipping algorithms for solving the nearest point problem over reduced convex hulls. Pattern Recognit. 44(3): 607-614 (2011) - [c13]Jorge López Lázaro, Kris De Brabanter, José R. Dorronsoro, Johan A. K. Suykens:
Sparse LS-SVMs with L0 - norm minimization. ESANN 2011 - [c12]Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro:
Momentum Acceleration of Least-Squares Support Vector Machines. ICANN (2) 2011: 135-142 - [c11]Jorge López Lázaro, José R. Dorronsoro:
Convergence of algorithms for solving the Nearest Point Problem in Reduced Convex Hulls. IJCNN 2011: 413-420 - 2010
- [c10]Jorge López Lázaro, José R. Dorronsoro:
Least 1-Norm SVMs: a new SVM variant between standard and LS-SVMs. ESANN 2010 - [c9]Jorge López Lázaro, José R. Dorronsoro:
A Common Framework for the Convergence of the GSK, MDM and SMO Algorithms. ICANN (2) 2010: 82-87 - [c8]Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro:
An MDM solver for the nearest point problem in Scaled Convex Hulls. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j2]Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro:
Cycle-breaking acceleration of SVM training. Neurocomputing 72(7-9): 1398-1406 (2009) - [j1]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) - [c7]Jorge López Lázaro, José R. Dorronsoro:
Rosen's projection method for SVM training. ESANN 2009 - [c6]Jorge López Lázaro, José R. Dorronsoro:
A Simple Proof of the Convergence of the SMO Algorithm for Linearly Separable Problems. ICANN (1) 2009: 904-912 - 2008
- [c5]Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro:
An accelerated MDM algorithm for SVM training. ESANN 2008: 421-426 - [c4]Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro:
Simple Clipping Algorithms for Reduced Convex Hull SVM Training. HAIS 2008: 369-377 - [c3]Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro:
A 4-Vector MDM Algorithm for Support Vector Training. ICANN (1) 2008: 315-324 - [c2]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 - [p1]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
- [c1]Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro:
Square Penalty Support Vector Regression. IDEAL 2007: 537-546
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