A genetic algorithm to ensemble feature selection
Fecha de publicación2007-11-02
Armengol Garganté, Ramon
Universitat de Lleida. Escola Politècnica Superior
MetadatosMostrar el registro completo del ítem
We are going to implement the "GA-SEFS" by Tsymbal and analyse experimentally its performance depending on the classifier algorithms used in the fitness function (NB, MNge, SMO). We are also going to study the effect of adding to the fitness function a measure to control complexity of the base classifiers.
Proyectos de investigación europeos
Showing items related by title, author, creator and subject.
Pon Farreny, Josep (2014-09)The main goal of this project is to provide a distributed automatic configuration tool. In particular, we will extend the state-of-the-art automatic configuration tool GGA.
Gabaldon Ponsa, Eloi; Guirado Fernández, Fernando; Planes Cid, Jordi (Springer, 2015)Scheduling and resource allocation to optimize performance criteria in multi-cluster heterogeneous environments is known as an NP-hard problem, not only for the resource heterogeneity, but also for the possibility of ...
Gabaldon Ponsa, Eloi; Lérida Monsó, Josep Lluís; Guirado Fernández, Fernando; Planes Cid, Jordi (Springer, 2017)Reducing energy consumption in large-scale computing facilities has become a major concern in recent years. Most of the techniques have focused on determining the computing requirements based on load predictions and thus ...