BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Normastic - ECPv6.17.4//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://www.normastic.fr
X-WR-CALDESC:Évènements pour Normastic
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Paris
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20170326T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20171029T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20180325T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20181028T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20190331T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20191027T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;VALUE=DATE:20180618
DTEND;VALUE=DATE:20180623
DTSTAMP:20250708T131706Z
CREATED:20180211T163134Z
LAST-MODIFIED:20250708T131706Z
UID:13787-1529280000-1529711999@www.normastic.fr
SUMMARY:Ecole d'été Statistics for Data Science S4D'18  (18-22/06/2018)
DESCRIPTION:Context and objectives:\nLarge-scale data analysis is an inherently multidisciplinary area and is becoming increasingly important in the today’s society where we are confronted with the « Big Data » phenomenon\, which are data on a large-scale in terms of dimension\, volume\, and complexity. The Research Summer School on Statistics for Data Science (S4D) is a multidisciplinary international summer school at the interface of several disciplines: statistics\, computer science (machine learning)\, optimization and signal processing\, with a focus on probabilistic/statistical formulations of recent methodologies dedicated to the problem of learning from large-scale complex data. \nIt will involve\, during 5 days\, for an audience of PhD students\, engineers\, postdocs and scientists\, several international pioneering scientists in modern statistics\, machine learning and artificial intelligence to present their expertise on both theoretical and technical aspects of models and algorithms to address data science problems with a focus on large-scale/high-dimensional scenarios. \nThe objectives of the talks are to: \n\npresent the basic developments of models for phd students and practitioners to understand the basics of the domain;\nhighlight for students\, scientists and practitioners the major scientific issues necessary for the development of such models and on the related theoretical and computational problems;\npresent and analyze the latest theoretical advances in modeling and practical considerations regarding statistical learning\, classification\, representation\, of large-scale raw data\, in various application area
URL:https://www.normastic.fr/event/s4d-2018/
LOCATION:Université de Caen\, Campus 2\, 6 Boulevard du Maréchal Juin\, Caen\, 14000\, France
CATEGORIES:Données, Apprentissage, Connaissances
ATTACH;FMTTYPE=image/png:https://www.normastic.fr/wp-content/uploads/2014/12/s4d_circle_small.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20180620
DTEND;VALUE=DATE:20180623
DTSTAMP:20250708T131620Z
CREATED:20180211T155739Z
LAST-MODIFIED:20250708T131620Z
UID:13778-1529452800-1529711999@www.normastic.fr
SUMMARY:Conférence CAP 2018 (20-22/06/2018)
DESCRIPTION:CAp is the annual meeting of the francophone Machine Learning community. The conference is a place of exchange and sharing of experiences in the field of machine learning with presentations of original research results. In 2018\, the 20th edition of CAp will be held in Rouen. As the image of the city\, characterized by an interdisciplinary culture\, the field of machine learning is at the interface of several scientific communities such as computer science\, applied mathematics\, neuroscience and human sciences. This multidisciplinary has played a leading role in the recent development of the area\, both in terms of methodology and applications. \nThe CAp 2018 Program Committee\, chaired by Yves Grandvalet\, invites you to submit your work in the field of machine learning. Cap 2018 also offers two special sessions on the themes: « Machine Learning in Games » (organized by Tristan Cazenave) and « Machine Learning for Health » (organized by Chloe-Agathe Azencott). \nImportant Dates \n\nAbstracts due:\nApril 13\, 2018\nPapers due:\nApril 20\, 2018\nNotification:\nMay 25\, 2018\nCamera-ready copy:\nJune 8\, 2018\nConference:\nJune 20-22\, 2018
URL:https://www.normastic.fr/event/cap-2018/
LOCATION:Site du Madrillet\, 685 Avenue de l’Université\, Saint Etienne du Rouvray\, 76801
CATEGORIES:Données, Apprentissage, Connaissances
ATTACH;FMTTYPE=image/png:https://www.normastic.fr/wp-content/uploads/2014/12/Header.png
END:VEVENT
END:VCALENDAR