CORDIS Project
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This project focuses on advancing supervised machine learning techniques to handle large-scale data more effectively. It aims to develop new algorithms that ensure scalability, adaptability, and robustness for various applications, including computer vision and bioinformatics.
Machine learning is needed and used everywhere, from science to industry, with a growing impact on many disciplines.
While first successes were due at least in part to simple supervised learning algorithms used primarily as black boxes on medium-scale problems, modern data pose new challenges.
Scalability is an important issue of course: with large amounts of data, many current problems far exceed the capabilities of existing algorithms despite sophisticated computing architectures.
But beyond t…
INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE
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