Observatorio de I+D+i UPM

Memorias de investigación
Cursos, seminarios y tutoriales:
Estimation of Distribution Algorithms and Regularization
Año:2009
Áreas de investigación
  • Investigación operativa,
  • Estadística
Datos
Descripción
Estimation of distribution algorithms (EDAs) are a recent optimization heuristic included in the class of stochastic population-based search methods. EDAs work by constructing an explicit probability model from a set of selected solutions, which is then conveniently used to generate new promising solutions in the next iteration of the evolutionary process. Regularization methods modify the likelihood function to get sensible procedures in these unstable situations. Parameter estimates are restricted maximum likelihood estimates since the new function to be optimized includes a penalty term where the size of the estimators is constrained. This size may be measured with different norms giving rise to different names: ridge, lasso, bridge, elastic net, etc. attracting the attention of many researchers from different fields in the last years. Some synergies between EDAs and regularization will be analyzed in the talk. On the one hand we will see that EDAs emerge as natural regularizers without having to be penalized. One the other hand we will introduce an EDA based on regularization.
Internacional
Si
Nombre congreso
Forthcoming Seminar
Entidad organizadora
University of Essex
Nacionalidad Entidad
REINO UNIDO
Lugar/Ciudad de impartición
Colchester
Fecha inicio
30/01/2009
Fecha fin
30/01/2009
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Maria Concepcion Bielza Lozoya (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de análisis de decisiones y estadística
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • Departamento: Inteligencia Artificial
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