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TCMM 2014 : International Workshop on Technical Computing for Machine Learning and Mathematical Engineering

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Link: http://www.esat.kuleuven.be/stadius/tcmm2014/
 
When Sep 8, 2014 - Sep 12, 2014
Where Leuven, Belgium
Submission Deadline Aug 11, 2014
Categories    machine learning   high performance computing   grid computing   distributed computing
 

Call For Papers

Hereby we would like to invite academics and practitioners to participate into:

TCMM 2014 International Workshop on Technical Computing for Machine
Learning and Mathematical Engineering
8 - 12 September, 2014 - Leuven, Belgium

Workshop homepage: http://www.esat.kuleuven.be/stadius/tcmm2014/

To stimulate the participation of young scholars we are offering
free-of-charge registration (without lunches and dinners) to PhD and
Master students.

The workshop will provide a venue to interact on the latest
developments in technical computing in relation to machine learning
and mathematical engineering problems and methods (including also
optimization, system identification, computational statistics, signal
processing, data visualization, deep learning, compressed sensing and
big-data). The emphasis is especially on open-source implementations
in high-level programming languages, including but not limited to
Julia, Python, Scala and R. For further information see the workshop
homepage.

The 3 days main event (8-10 September) consists of invited and
contributed talks as well as poster presentations. It is followed by a
2 days additional event (11-12 September) including software demos and
hands-on tutorials on selected topics.

Detailed program at: http://www.esat.kuleuven.be/stadius/tcmm2014/program.php

Deadline for registration: 1 September 2014

For further information (including Regular or Free-of-Charge
Registration, Location and Venue) see the workshop website.

Organizing committee:

Marco Signoretto, Department of Electrical Engineering, KU Leuven
Johan Suykens, Department of Electrical Engineering, KU Leuven
Vilen Jumutc , Department of Electrical Engineering, KU Leuven

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