This book offers a comprehensive overview of ensemble learning in the field of feature selection (FS), which consists of combining the output of multiple methods to obtain better results than any single method.
Basic concepts.- Feature selection.- Foundations of ensemble learning.- Ensembles for feature selection.- Combination of outputs.- Evaluation of ensembles for feature selection.- Other ensemble approaches.- Applications of ensembles versus traditional approaches: experimental results.- Software tools.- Emerging Challenges.
Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Verónica Bolón-Canedo, Elena Hernández-Pereira, Oscar Fontenla-Romero, David Camacho, Juan Ramón Rabuñal, Manuel Ojeda-Aciego, Jesús Medina, José C. Riquelme, Alicia Troncoso, Bertha Guijarro-Berdinas, Veronica Bolon-Canedo, Elena Hernandez-Pereira, Juan Ramon Rabunal, Jesus Medina, Jose C. Riquelme
Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Verónica Bolón-Canedo, Elena Hernández-Pereira, Oscar Fontenla-Romero, David Camacho, Juan Ramón Rabuñal, Manuel Ojeda-Aciego, Jesús Medina, José C. Riquelme, Alicia Troncoso, Bertha Guijarro-Berdinas, Veronica Bolon-Canedo, Elena Hernandez-Pereira, Juan Ramon Rabunal, Jesus Medina, Jose C. Riquelme
Amparo Alonso-Betanzos, Noelia Sánchez-Maroño, Oscar Fontenla-Romero, J. Gary Polhill, Tony Craig, Javier Bajo, Juan Manuel Corchado, Noelia Sanchez-Marono
Amparo Alonso-Betanzos, Noelia Sánchez-Maroño, Oscar Fontenla-Romero, J. Gary Polhill, Tony Craig, Javier Bajo, Juan Manuel Corchado, Noelia Sanchez-Marono
Javier Bajo, Josefa Z. Hernández, Philippe Mathieu, Andrew Campbell, Antonio Fernández-Caballero, María N. Moreno, Vicente Julián, Amparo Alonso-Betanzos, María Dolores Jiménez-López, Vicente Botti
Concha Bielza, Antonio Salmerón, Amparo Alonso-Betanzos, J. Ignacio Hidalgo, Luis Martínez, Alicia Troncoso, Emilio Corchado, Juan M. Corchado, Antonio Salmeron, Luis Martinez