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X-WR-CALDESC:Events for IVADO
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DTSTART;VALUE=DATE:20170619
DTEND;VALUE=DATE:20170623
DTSTAMP:20260421T041249
CREATED:20170418T201036Z
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SUMMARY:2017 Mixed Integer Programming Workshop
DESCRIPTION:The 2017 Mixed Integer Programming Workshop will be held June 19-22\, 2017 at HEC Montréal (Québec\, Canada). \nWorkshop Details \n\nThe workshop program is composed of a limited number (~ 20 to 25) of invited talks on recent and typically unpublished work on MIP.\nThe talks are organized in a single track and scheduled to leave ample time for discussion and interaction among the participants.\nTo encourage participation of students and junior researchers\, no registration fee is charged and limited travel support is available.\nThe workshop is made possible by the generous donations of our sponsors.\nThe workshop features a poster session\, in which the attendees can present their work on MIP related topics. Please see Posters section for details and deadlines.\nWorkshops are held annually in North America. The previous workshops were held in New York (2003)\, Minneapolis (2005)\, Miami (2006)\, Montreal (2007)\, New York (2008)\, Berkeley (2009)\, Atlanta (2010)\, Waterloo (2011)\, Davis (2012)\, Madison (2013)\, Columbus (2014)\, Chicago (2015)\, Miami (2016).\n\nPlus d’info >>
URL:https://vieux.ivado.ca/en/events/2017-mixed-integer-programming-workshop/
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DTSTART;VALUE=DATE:20170626
DTEND;VALUE=DATE:20170702
DTSTAMP:20260421T041249
CREATED:20170419T145450Z
LAST-MODIFIED:20200205T154311Z
UID:7237-1498435200-1498953599@vieux.ivado.ca
SUMMARY:Deep Learning Summer School and Reinforcement Learning Summer School
DESCRIPTION:Deep neural networks that learn to represent data in multiple layers of increasing abstraction have dramatically improved the state-of-the-art for speech recognition\, object recognition\, object detection\, predicting the activity of drug molecules\, and many other tasks. Deep learning discovers intricate structure in large datasets by building distributed representations\, either via supervised\, unsupervised or reinforcement learning. \nThe Deep Learning Summer School (DLSS) is aimed at graduate students and industrial engineers and researchers who already have some basic knowledge of machine learning (and possibly but not necessarily of deep learning) and wish to learn more about this rapidly growing field of research. \nThis year’s edition of the DLSS is organized by Graham Taylor\, Aaron Courville and Yoshua Bengio.
URL:https://vieux.ivado.ca/en/events/deep-learning-summer-school-and-reinforcement-learning-summer-school/
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