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Massive Sets of Heuristics for Machine Learning

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.
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Coordinator

FONDATION DE L'INSTITUT DE RECHERCHE IDIAP

Address

Rue Marconi 19
1920 Martigny

Switzerland

Activity type

Research Organisations

EU Contribution

€ 717 382

Administrative Contact

François Fleuret (Dr.)

Participants (6)

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CESKE VYSOKE UCENI TECHNICKE V PRAZE

Czechia

EU Contribution

€ 423 040

UNIVERSITAET POTSDAM

Germany

EU Contribution

€ 327 334

FORSCHUNGSVERBUND BERLIN EV

Germany

EU Contribution

€ 101 466

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS

France

EU Contribution

€ 345 268

INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE

France

EU Contribution

€ 394 509

UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE

France

Project information

Grant agreement ID: 247022

Status

Closed project

  • Start date

    1 January 2010

  • End date

    30 June 2013

Funded under:

FP7-ICT

  • Overall budget:

    € 3 052 268

  • EU contribution

    € 2 308 999

Coordinated by:

FONDATION DE L'INSTITUT DE RECHERCHE IDIAP

Switzerland