RegML 2014 - PhD Summer Course - Regularization Methods for Machine Learning (RegML)
Topics/Call fo Papers
ML PhD Summer Course in Genova, Italy 30 June - 4 July 2014
Regularization Methods for Machine Learning (RegML)
Instructors: Francesca Odone (francesca.odone-AT-unige.it ); Lorenzo Rosasco (lorenzo.rosasco-AT-unige.it)
A 20 hours advanced machine learning course including theory classes and practical laboratory session. The course covers foundations as well as recent advances in Machine Learning with emphasis on high dimensional data and a core set techniques, namely regularization methods. In many respect the course is compressed version of the 9.520 course at MIT
The course started in 2008 has seen an increasing national and international attendance over the years with a peak of 85 participants in 2013.
Registration required: send an e-mail to the instructors by May 24th. The course will be activated if a minimum number of participants is reached.
The course will be held in Genova in the heart of the Italian Riviera.
For more information see URL http://lcsl.mit.edu/courses/regml/
Regularization Methods for Machine Learning (RegML)
Instructors: Francesca Odone (francesca.odone-AT-unige.it ); Lorenzo Rosasco (lorenzo.rosasco-AT-unige.it)
A 20 hours advanced machine learning course including theory classes and practical laboratory session. The course covers foundations as well as recent advances in Machine Learning with emphasis on high dimensional data and a core set techniques, namely regularization methods. In many respect the course is compressed version of the 9.520 course at MIT
The course started in 2008 has seen an increasing national and international attendance over the years with a peak of 85 participants in 2013.
Registration required: send an e-mail to the instructors by May 24th. The course will be activated if a minimum number of participants is reached.
The course will be held in Genova in the heart of the Italian Riviera.
For more information see URL http://lcsl.mit.edu/courses/regml/
Other CFPs
Last modified: 2014-04-23 07:01:35