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Joachim M. Buhmann

Joachim M. Buhmann leads the group of “Pattern Recognition and Machine Learning” in the Department of Computer Science at ETH Zurich. He has been a full professor of Information Science and Engineering (Informatik) since October 2003. Born in 1959 in Friedrichshafen, Germany, he studied Physics at the Technical University Munich and obtained his PhD in Theoretical Biophysics with Professor Klaus Schulten. His doctoral thesis was about pattern recognition in neural networks. He then spent three years as a research assistant and assistant professor at the University of Southern California, Los Angeles. He spent 1991 at the Lawrence Livermore National Laboratory in California. He held the chair of practical Computer Science (praktische Informatik) at the University of Bonn, Germany from 1992 to 2003. His research interests spans the areas of pattern recognition and data analysis, including machine learning, statistical learning theory and applied statistics. Application areas of his
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Information Theoretic Model Validation by Approximate Optimization

Joachim M. Buhmann

calendar icon Jan 5, 2011 4822 views

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Is non-(geo)metricity an issue for machine learning?

Alex Smola,

Shai Ben-David,

Edwin Hancock,

Joachim M. Buhmann

calendar icon Jul 20, 2010 5040 views

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Information Theoretic Model Selection in Clustering

Joachim M. Buhmann

calendar icon Jan 19, 2010 4674 views

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Cluster stability and robust optimization

Joachim M. Buhmann

calendar icon Jul 28, 2007 5639 views

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Learning issues in image segmentation

Joachim M. Buhmann

calendar icon Feb 25, 2007 14712 views

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