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There are 4 Results with the keyword : "Sequel project-team"

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Machine Learning

Applying machine learning to education

16/12/2016

The Sequel project-team, which specializes in sequential machine learning, has been working for the last two years with scientists from Carnegie Mellon University in Pittsburgh, in a combined team known as Eduband. This team is investigating how machine learning can improve the new educational tools. But can an algorithm measure a student's interest and progress?

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Home > Centre > Lille > News > Appliquer le machine learning à l’éducation

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Portraits

Greece, England and Germany

9/07/2015

After beginning her career in France and then going to Britain, the Franco-Greek researcher Alexandra Carpentier is preparing to move to Germany: a journey marked by her desire to understand the fascinating universe of mathematical statistics and machine learning.

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Home > Centre > Lille > News > De la Grèce à l'Allemagne en passant par Lille et Cambridge.

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Award

The "Best Data Analysis" Gold Trophy for Nuukik, in collaboration with the Sequel team

13/11/2015

Nuukik won the Best Data Analysis award at the Connected Commerce Show 2015 for its innovative project on seasonalised recommendations, to adapt recommendations according to the season and the temporal context. A project conducted with the expertise of the Sequel project team at Inria Lille - Nord Europe.

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Home > Centre > Lille > News > Trophée d’Or "Meilleure Analyse Data" pour Nuukik, en collaboration avec l’équipe Sequel

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Artificial intelligence

When machines learn to forget

22/06/2018

The work of Daniele Calandriello, a doctoral candidate on the Project Sequel team at the Inria Lille - Nord Europe research center, has just received an award from the French Association for Artificial Intelligence (AFIA). He has developed a method by which machines retain only the essential elements of very big datasets in order to make them more independent.

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Home > Centre > Lille > News > Quand les machines apprennent à oublier

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