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SSML 2013 - PhD Summer School in Machine Learning

Date2013-08-12 - 2013-08-16


VenueDTU Compute, Denmark Denmark



Topics/Call fo Papers

PhD Summer School in Machine Learning
August 12 - 16, 2013 (both days included)
DTU Compute, Technical University of Denmark,
We hereby invite you to participate in the PhD Summer School on
Machine Learning that will take place at the Technical University of
The course will consist of lectures given by invited speakers with
expertise in machine learning as well as members of the research
groups at DTU Compute. The course will cover key topics in machine
learning including Bayesian parametric and non-parametric inference,
optimization, low rank matrix factorization and kernel methods. As
preparation for the course we recommend reading the book by
Christopher M. Bishop "Pattern Recognition and Machine Learning",
Springer 2006 (chapter 1-6 and 9). The course requires basic Matlab
programming skills.
Confirmed invited Speakers:
Joaquin Quiñonero Candela, Facebook
Ryota Tomioka, University of Tokyo
Further information regarding the summer school can be found on our
For registration, please contact: Marian Solrun Adler or
Morten Mørup
We hope to see you at the campus of the Technical University of
The organizers,
Morten Mørup, Lars Kai Hansen, Mikkel N. Schmidt and Ole Winther

Last modified: 2013-03-16 14:38:15