Stochastic Density Ratio Estimation and Its Application to Feature Selection
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Doctoral Consortium. Pages 4345-4345.
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.
Igor Braga. 2015. Stochastic Density Ratio Estimation and Its Application to Feature Selection. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15. IJCAI, 4345–4345. https://ijcai.org/proceedings/2015/620
Braga, I. (2015). Stochastic Density Ratio Estimation and Its Application to Feature Selection. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 (pp. 4345–4345). IJCAI. https://ijcai.org/proceedings/2015/620
@inproceedings{ijcai2015p620,
title = {Stochastic Density Ratio Estimation and Its Application to Feature Selection},
author = {Braga, Igor},
booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-15}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Qiang Yang and Michael Wooldridge},
pages = {4345--4345},
year = {2015},
month = {7},
note = {Doctoral Consortium},
url = {https://ijcai.org/proceedings/2015/620},
}
TY - CPAPER TI - Stochastic Density Ratio Estimation and Its Application to Feature Selection AU - Braga, Igor T2 - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 PB - International Joint Conferences on Artificial Intelligence PY - 2015 SP - 4345 EP - 4345 UR - https://ijcai.org/proceedings/2015/620 ER -Copied
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