Fernando Lozano

Publication Activity (10 Years)

Years Active: 1997-2019
Publications (10 Years): 2

Top Topics

Ranking Functions

Grows Quadratically

Multiagent Reinforcement Learning

Top Venues

Publications

Carolina Higuera, Fernando Lozano, Edgar Camilo Camacho, Carlos Hernando Higuera
Demonstration of Multiagent Reinforcement Learning Applied to Traffic Light Signal Control. PAAMS (2019)
Carolina Higuera, Fernando Lozano, Edgar Camilo Camacho, Carlos Hernando Higuera
Multiagent Reinforcement Learning Applied to Traffic Light Signal Control. PAAMS (2019)
Carlos A. Quintero, Reinaldo Uribe, Juan M. Calderón, Fernando Lozano
Online Pairwise Ranking Based on Graph Edge-Connectivity. IBICA (2015)
Reinaldo Uribe Muriel, Fernando Lozano, Charles Anderson
Optimal Nudging: Solving Average-Reward Semi-Markov Decision Processes as a Minimal Sequence of Cumulative Tasks. CoRR (2015)
Fernando Lozano
Learning to Rank Drug Combinations. ICMLA (2) (2013)
Carlos A. Quintero, Fernando Lozano
Locally Linear Minimum Spanning Trees for Manifold Learning. ICMLA (1) (2013)
Maria A. Zuluaga, Isabelle E. Magnin, Marcela Hernández Hoyos, Edgar J. F. Delgado Leyton, Fernando Lozano, Maciej Orkisz
Automatic detection of abnormal vascular cross-sections based on density level detection and support vector machines. Int. J. Comput. Assist. Radiol. Surg. 6 (2) (2011)
Luis Felipe Giraldo, Fernando Lozano, Nicanor Quijano
Foraging theory for dimensionality reduction of clustered data. Mach. Learn. 82 (1) (2011)
Reinaldo Uribe, Fernando Lozano, Katsunari Shibata, Charles Anderson
Discount and speed/execution tradeoffs in Markov Decision Process games. CIG (2011)
Diego Ardila, José Abásolo, Fernando Lozano
Multiple Kernel Learning for Ontology Instance Matching. KEOD (2010)
Elkin García, Fernando Lozano
Boosting Support Vector Machines. MLDM Posters (2007)
Pedro Rangel, Fernando Lozano, Elkin García
Boosting of support vector machines with application to editing. ICMLA (2005)
Fernando Lozano, Vladimir Koltchinskii
Self bounding genetic algorithms for machine learning. ICMLA (2005)
Fernando Lozano, Pedro Rangel
Algorithms for parallel boosting. ICMLA (2005)
Vladimir Koltchinskii, Dmitriy Panchenko, Fernando Lozano
Further Explanation of the Effectiveness of Voting Methods: The Game between Margins and Weights. COLT/EuroCOLT (2001)
Vladimir Koltchinskii, Dmitriy Panchenko, Fernando Lozano
Some New Bounds on the Generalization Error of Combined Classifiers. NIPS (2000)
Don R. Hush, Fernando Lozano, Bill G. Horne
Function Approximation with the Sweeping Hinge Algorithm. NIPS (1997)