ML Anthology

Stochastic Density Ratio Estimation and Its Application to Feature Selection

Igor Braga
IJCAI 2015 pp. 4345-4346
/ijcai/2015/braga2015ijcai-stochastic/

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.

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Cite

Text

Braga. "Stochastic Density Ratio Estimation and Its Application to Feature Selection." International Joint Conference on Artificial Intelligence, 2015.

Markdown

[Braga. "Stochastic Density Ratio Estimation and Its Application to Feature Selection." International Joint Conference on Artificial Intelligence, 2015.](https://mlanthology.org/ijcai/2015/braga2015ijcai-stochastic/)

BibTeX

@inproceedings{braga2015ijcai-stochastic,
  title     = {{Stochastic Density Ratio Estimation and Its Application to Feature Selection}},
  author    = {Braga, Igor},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2015},
  pages     = {4345-4346},
  url       = {https://mlanthology.org/ijcai/2015/braga2015ijcai-stochastic/}
}