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X-WR-CALDESC:Events for IVADO
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TZOFFSETFROM:-0500
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DTSTART:20160313T070000
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DTSTART:20161106T060000
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DTSTART;VALUE=DATE:20160801
DTEND;VALUE=DATE:20160808
DTSTAMP:20260422T020505
CREATED:20160616T201437Z
LAST-MODIFIED:20190909T181111Z
UID:5703-1470009600-1470614399@vieux.ivado.ca
SUMMARY:Deep 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. \nThis summer schools 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 summer school is organized by Aaron Courville and Yoshua Bengio.
URL:https://vieux.ivado.ca/en/events/deep-learning-summer-school/
LOCATION:Lieu sans nom\, Montreal\, Canada
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20160804
DTEND;VALUE=DATE:20160805
DTSTAMP:20260422T020505
CREATED:20160617T155848Z
LAST-MODIFIED:20160617T160136Z
UID:5706-1470268800-1470355199@vieux.ivado.ca
SUMMARY:Impact of online tracking on vehicle routing with dynamic travel
DESCRIPTION:With an application in the pick-up of blood samples\nThis talk analyzes the impact of vehicle tracking devices\, such as global positioning systems\, on a vehicle routing problem with time windows in the presence of dynamic customer requests and dynamic travel times. It is empirically demonstrated that substantial improvements are achieved over a previously reported model which does not assume such tracking devices. We also analyze how the system handles dynamic perturbations to the travel times that lead to earliness or lateness in the planned schedule. The benefit of the approach is illustrated for the pick-up of blood samples and the delivery of medical items\, for which unusual time windows are considered. \nSpeaker: Nicolas Zufferey\, full professor of operations management at the University of Geneva in Switzerland.
URL:https://vieux.ivado.ca/en/events/impact-of-online-tracking-on-vehicle-routing-with-dynamic-travel/
LOCATION:Université de Montréal\, Pavillon André-Aisenstadt\, Pavillon André-Aisenstadt\, Montréal\, QC\, H3T 1J4\, Canada
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