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                        Call for Contributions

       Workshop on Machine Learning Open Source Software 2015:
                        Open Ecosystems
                  http://mloss.org/workshop/icml15/

                     at ICML 2015, Lille, France
                         10th July 2015

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The ICML workshop on Machine Learning Open Source Software (MLOSS) is aimed at all machine learning researchers who wish to have their algorithms and implementations included as a part of the greater open source machine learning environment. Continuing the tradition of well received workshops on MLOSS at NIPS 2006, NIPS 2008, ICML 2010 and NIPS 2013, we plan to have a workshop that is a mix of invited speakers, contributed talks and discussion/activity sessions. For 2015, we focus on building open ecosystems. Our invited speakers will illustrate the process for Python and Julia through presenting modern high-level high-performance computation engines, and we encourage submissions that showcase the benefits of multiple tools in the same ecosystem. All software presentations are required to include a live demonstration. The workshop will also include an active session (“hackathon”) for planning and starting to develop infrastructure for measuring software impact.

IMPORTANT DATES

    * Submission Date: 28 April 2015
    * Notification of Acceptance: 11 May 2015
    * Workshop date: 10 July 2015


CALL FOR CONTRIBUTIONS

The organizing committee is currently seeking abstracts for talks at
MLOSS 2015. MLOSS is a great opportunity for you to tell the community
about your use, development, philosophy, or other activities related
to open source software in machine learning. The committee will select
several submitted abstracts for 20-minute talks.

We look forward for submissions that are novel, exciting and that
appeal to the wider community. For more details see:
http://mloss.org/workshop/icml15/

Please submit your contributions at
https://www.easychair.org/conferences/?conf=mloss2015


ORGANIZERS:
Gaël Varoquaux (http://gael-varoquaux.info/)
Antti Honkela (http://www.hiit.fi/u/ahonkela/)
Cheng Soon Ong (http://www.ong-home.my/)

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