Bayesian error estimation and model selection in sparse logistic regression

Heikki Huttunen; Tapio Manninen; Jussi Tohka

doi:10.1109/MLSP.2013.6661987

Bayesian error estimation and model selection in sparse logistic regression

Heikki Huttunen, Tapio Manninen, Jussi Tohka

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

5 Citations (Scopus)

Translated title of the contribution	Bayesian error estimation and model selection in sparse logistic regression
Original language	English
Title of host publication	2013 IEEE International Workshop on Machine Learning for Signal Processing, 22-25 September 2013, Southampton, UK
Publisher	IEEE
Pages	1-6
Number of pages	6
ISBN (Print)	978-1-4799-1180-6
DOIs	https://doi.org/10.1109/MLSP.2013.6661987
Publication status	Published - 2013
Publication type	A4 Article in conference proceedings

Publication series

Name	IEEE International Workshop on Machine Learning for Signal Processing
ISSN (Print)	1551-2541

Publication forum classification

Publication forum level 1

Access to Document

10.1109/MLSP.2013.6661987

Cite this

Huttunen, H., Manninen, T., & Tohka, J. (2013). Bayesian error estimation and model selection in sparse logistic regression. In 2013 IEEE International Workshop on Machine Learning for Signal Processing, 22-25 September 2013, Southampton, UK (pp. 1-6). (IEEE International Workshop on Machine Learning for Signal Processing). IEEE. https://doi.org/10.1109/MLSP.2013.6661987

@inproceedings{a760e4dd82f8492ba2c62e56cf98c689,

title = "Bayesian error estimation and model selection in sparse logistic regression",

author = "Heikki Huttunen and Tapio Manninen and Jussi Tohka",

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Bayesian error estimation and model selection in sparse logistic regression. / Huttunen, Heikki; Manninen, Tapio; Tohka, Jussi.
2013 IEEE International Workshop on Machine Learning for Signal Processing, 22-25 September 2013, Southampton, UK. IEEE, 2013. p. 1-6 (IEEE International Workshop on Machine Learning for Signal Processing).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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