Jorge López Lázaro

Publication Activity (10 Years)

Years Active: 2007-2018
Publications (10 Years): 1

Top Topics

Convergence Rate

Variable Step Size

Robust Optimization

Top Venues

Pattern Recognit.

IEEE Trans. Neural Networks Learn. Syst.

J. Mach. Learn. Res.

Publications

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 (2018)
Jorge López Lázaro, José R. Dorronsoro
Linear convergence rate for the MDM algorithm for the Nearest Point Problem. Pattern Recognit. 48 (4) (2015)
Álvaro Barbero Jiménez, Akiko Takeda, Jorge López Lázaro
Geometric intuition and algorithms for Ev-SVM. J. Mach. Learn. Res. 16 (2015)
Jorge López Lázaro, José R. Dorronsoro
The convergence rate of linearly separable SMO. IJCNN (2013)
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) (2012)
Jorge López Lázaro, José R. Dorronsoro
The convergence rate of the MDM algorithm. IJCNN (2012)
Jorge López Lázaro, Johan A. K. Suykens
First and Second Order SMO Algorithms for LS-SVM Classifiers. Neural Process. Lett. 33 (1) (2011)
Jorge López Lázaro, Kris De Brabanter, José R. Dorronsoro, Johan A. K. Suykens
Sparse LS-SVMs with L0 - norm minimization. ESANN (2011)
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) (2011)
Jorge López Lázaro, José R. Dorronsoro
Convergence of algorithms for solving the Nearest Point Problem in Reduced Convex Hulls. IJCNN (2011)
Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro
Momentum Acceleration of Least-Squares Support Vector Machines. ICANN (2) (2011)
Jorge López Lázaro, José R. Dorronsoro
Least 1-Norm SVMs: a new SVM variant between standard and LS-SVMs. ESANN (2010)
Jorge López Lázaro, José R. Dorronsoro
A Common Framework for the Convergence of the GSK, MDM and SMO Algorithms. ICANN (2) (2010)
Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro
An MDM solver for the nearest point problem in Scaled Convex Hulls. IJCNN (2010)
Jorge López Lázaro, José R. Dorronsoro
Rosen's projection method for SVM training. ESANN (2009)
Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro
Finding optimal model parameters by deterministic and annealed focused grid search. Neurocomputing 72 (13-15) (2009)
Jorge López Lázaro, José R. Dorronsoro
A Simple Proof of the Convergence of the SMO Algorithm for Linearly Separable Problems. ICANN (1) (2009)
Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro
Cycle-breaking acceleration of SVM training. Neurocomputing 72 (7-9) (2009)
Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro
A 4-Vector MDM Algorithm for Support Vector Training. ICANN (1) (2008)
Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro
Simple Clipping Algorithms for Reduced Convex Hull SVM Training. HAIS (2008)
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)
Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro
An accelerated MDM algorithm for SVM training. ESANN (2008)
Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro
Square Penalty Support Vector Regression. IDEAL (2007)