Stochastic Density Ratio Estimation and Its Application to Feature Selection / 4345
Igor Braga
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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.