{"type":"ScholarlyArticle","title":"Stochastic Density Ratio Estimation and Its Application to Feature Selection","authors":[{"name":"Igor Braga","slug":"igor-braga","given":"Igor","family":"Braga","affiliation":""}],"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.","doi":null,"url":"https://ijcai.org/proceedings/2015/620","pdf":"https://ijcai.org/proceedings/2015/0620.pdf","markdown":"https://ijcai.org/proceedings/2015/620.md","bibtex":"https://ijcai.org/proceedings/2015/bibtex/620","volume":{"slug":"2015","title":"Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2015","url":"https://ijcai.org/proceedings/2015/","year":2015,"location":"Buenos Aires, Argentina","dates":"25–31 July 2015","editors":"Qiang Yang and Michael Wooldridge","isbn":"978-1-57735-738-4","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Doctoral Consortium","track":"Doctoral Consortium","number":620,"pages":{"first":4345,"last":4345},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}