Large Margin Learning of Bayesian Classifiers based on Gaussian Mixture Models

Franz Pernkopf; Michael Wohlmayr

doi:10.1007/978-3-642-15939-8_4

Large Margin Learning of Bayesian Classifiers based on Gaussian Mixture Models

Franz Pernkopf
, Michael Wohlmayr

Institute of Signal Processing and Speech Communication (4420)

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

Original language	English
Title of host publication	Machine Learning and Knowledge Discovery in Databases
Place of Publication	Berlin [u.a.]
Publisher	Springer
Pages	50-55
Volume	6323
ISBN (Print)	978-3-642-15938-1
DOIs	https://doi.org/10.1007/978-3-642-15939-8_4
Publication status	Published - 2010
Event	European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2010 - Barcelona, Spain Duration: 20 Sept 2010 → 24 Sept 2010

Publication series

Name	Lecture notes in computer science
Publisher	Springer

Conference

Conference	European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2010
Country/Territory	Spain
City	Barcelona
Period	20/09/10 → 24/09/10

Access to Document

10.1007/978-3-642-15939-8_4

Cite this

Pernkopf, F & Wohlmayr, M 2010, Large Margin Learning of Bayesian Classifiers based on Gaussian Mixture Models. in Machine Learning and Knowledge Discovery in Databases. vol. 6323, Lecture notes in computer science, Springer, Berlin [u.a.], pp. 50-55, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2010, Barcelona, Spain, 20/09/10. https://doi.org/10.1007/978-3-642-15939-8_4

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