Jorge López Lázaro

24 papers B 8C 1Misc 1Journal 8Unranked 5

Year	Rank	Type	Title / Venue / Authors
2018	J	`jnl`	Improving cash logistics in bank branches by coupling machine learning and robust optimization. Expert Syst. Appl. Jorge López Lázaro, Álvaro Barbero Jiménez, Akiko Takeda
2015	J	`jnl`	Geometric intuition and algorithms for Ev-SVM. J. Mach. Learn. Res. Álvaro Barbero Jiménez, Akiko Takeda, Jorge López Lázaro
2015	J	`jnl`	Linear convergence rate for the MDM algorithm for the Nearest Point Problem. Pattern Recognit. Jorge López Lázaro, José R. Dorronsoro
2013	B	`conf`	The convergence rate of linearly separable SMO. IJCNN Jorge López Lázaro, José R. Dorronsoro
2012	J	`jnl`	Simple Proof of Convergence of the SMO Algorithm for Different SVM Variants. IEEE Trans. Neural Networks Learn. Syst. Jorge López Lázaro, José R. Dorronsoro
2012	B	`conf`	The convergence rate of the MDM algorithm. IJCNN Jorge López Lázaro, José R. Dorronsoro
2011	J	`jnl`	Clipping algorithms for solving the nearest point problem over reduced convex hulls. Pattern Recognit. Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro
2011	B	`conf`	Convergence of algorithms for solving the Nearest Point Problem in Reduced Convex Hulls. IJCNN Jorge López Lázaro, José R. Dorronsoro
2011	J	`jnl`	First and Second Order SMO Algorithms for LS-SVM Classifiers. Neural Process. Lett. Jorge López Lázaro, Johan A. K. Suykens
2011	—	`conf`	Momentum Acceleration of Least-Squares Support Vector Machines. ICANN (2) Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro
2011	B	`conf`	Sparse LS-SVMs with L0 - norm minimization. ESANN Jorge López Lázaro, Kris De Brabanter, José R. Dorronsoro, Johan A. K. Suykens
2010	—	`conf`	A Common Framework for the Convergence of the GSK, MDM and SMO Algorithms. ICANN (2) Jorge López Lázaro, José R. Dorronsoro
2010	B	`conf`	An MDM solver for the nearest point problem in Scaled Convex Hulls. IJCNN Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro
2010	B	`conf`	Least 1-Norm SVMs: a new SVM variant between standard and LS-SVMs. ESANN Jorge López Lázaro, José R. Dorronsoro
2009	—	`conf`	A Simple Proof of the Convergence of the SMO Algorithm for Linearly Separable Problems. ICANN (1) Jorge López Lázaro, José R. Dorronsoro
2009	J	`jnl`	Cycle-breaking acceleration of SVM training. Neurocomputing Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro
2009	J	`jnl`	Finding optimal model parameters by deterministic and annealed focused grid search. Neurocomputing Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro
2009	B	`conf`	Rosen's projection method for SVM training. ESANN Jorge López Lázaro, José R. Dorronsoro
2008	—	`conf`	A 4-Vector MDM Algorithm for Support Vector Training. ICANN (1) Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro
2008	B	`conf`	An accelerated MDM algorithm for SVM training. ESANN Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro
2008	—	`ch.`	Finding Optimal Model Parameters by Discrete Grid Search. Innovations in Hybrid Intelligent Systems Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro
2008	—	`conf`	On the Equivalence of the SMO and MDM Algorithms for SVM Training. ECML/PKDD (1) Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro
2008	Misc	`conf`	Simple Clipping Algorithms for Reduced Convex Hull SVM Training. HAIS Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro
2007	C	`conf`	Square Penalty Support Vector Regression. IDEAL Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro