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

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 - 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
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, Barcelona, Spain, 20/09/10. https://doi.org/10.1007/978-3-642-15939-8_4

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doi = "10.1007/978-3-642-15939-8_4",

language = "English",

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series = "Lecture notes in computer science",

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T3 - Lecture notes in computer science

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BT - Machine Learning and Knowledge Discovery in Databases

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