Actas de congresos
Stochastic density ratio estimation and its application to feature selection
Fecha
2015-07Registro en:
International Joint Conference on Artificial Intelligence, 24th, 2015, Buenos Aires.
9781577357384
Autor
Braga, Ígor Assis
Monard, Maria Carolina
Vapnik, Vladimir
Institución
Resumen
In this work, we deal with a relatively new statistical tool in machine learning: the estimation of the ratio of two probability densities, or density ratio estimation for short. As a side piece of research that gained its own traction, we also tackle the task of parameter selection in learning algorithms based on kernel methods.