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Stochastic Density Ratio Estimation and Its Application to Feature Selection

Author(s):
Braga, Igor ; Yang, Q ; Wooldridge, M
Total Authors: 3
Document type: Journal article
Source: PROCEEDINGS OF THE TWENTY-FOURTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI); v. N/A, p. 2-pg., 2015-01-01.
Abstract

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. (AU)

FAPESP's process: 09/17773-7 - Selective Inference in Machine Learning: theory, algorithms and applications
Grantee:Ígor Assis Braga
Support Opportunities: Scholarships in Brazil - Doctorate