There are 51 Results with the keyword : "Machine learning"
(Almost) 50 shades of Bayesian learning : PAC-Bayesian trends and insights Workshop organised by Benjamin Guedj member of Modal inria project-team will be held on Long Beach Convention Center, Californie during NIPS 2017 conference.
Place : Long Beach Convention Center, Californie
European Research Council 2016
Jan Ramon, a researcher in Magnet project-team at the Inria Research Centre in Lille, has just obtained an ERC (European Research Council) Proof of Concept Grant. His goal is to build a bridge between pure research and the development of concrete data processing applications.
Teaching machines to analyze language and words in a large volume of data in order to extract information and perform tasks... This is the objective of the LEGO associate team’s research: “LEarning GOod representations for automatic natural language processing.” Begun in January 2016 for a period of 3 years, LEGO brings together the Magnet project team* and the University of Southern California. It is a partnership which will soon come to an end but which promises further advances.
The 14th European workshop on Reinforcement Learning will be organised by SequeL Team. This workshop will be held from 1st to 3rd october at ENSAM in Lille.
Place : ENSAM, 8 boulevard Louis XIV 59800 Lille
Of the 16 project teams at the Inria Lille - Nord Europe center, nine have research projects linked to artificial intelligence, either directly or indirectly. Here is an overview of the Inria Lille forces in AI.
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.
Inria Awards 2018
Can artificial intelligence help us to better understand natural intelligence? Pierre-Yves Oudeyer cultivates a vision of artificial intelligence that is as close as possible to the living world. A vision in which machines are at the service of humans. His guiding principle is looking to mechanisms of intrinsic motivation to enable humans and machines to progress in autonomous learning.
Scikit-Learn is a Machine Learning library, developed thanks to the Python programming language. This open source tool, developed on the initiative of the Parietal team, has been a complete success.