Project description
Cognitive Systems and Robotics New tools for the collaborative development of very complex machine learning systems. The MASH project aims at creating new tools for the collaborative development of very complex machine learning systems. Machine learning is concerned with the design of software able to learn from example. Since machine learning methods remain far from their biological counterpart in terms of performance, MASH will investigate a new strategy, by developing new theoretical tools and software to help large groups of individuals design large families of feature extractors. The idea is to combine several types of features developed by independent teams in order to improve performance. Because they exploit different sources of information, different modules mutually compensate their weaknesses.
Fields of science
- natural sciencescomputer and information sciencessoftware
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsignal processing
- natural sciencescomputer and information sciencesartificial intelligencemachine learningreinforcement learning
- natural sciencescomputer and information sciencesartificial intelligenceheuristic programming
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringrobotics
Call for proposal
FP7-ICT-2009-4
See other projects for this call
Funding Scheme
CP - Collaborative project (generic)Coordinator
1920 Martigny
Switzerland
Participants (6)
160 00 Praha
14469 Potsdam
Participation ended
12489 Berlin
75794 Paris
78153 Le Chesnay Cedex
60203 Compiegne Cedex
