CORDIS Project
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CoDeFeL explores the intersection of Machine Learning and Control Theory to enhance the theoretical foundations of ML methods. It aims to develop efficient Residual Neural Network architectures for applications in digital medicine and recommendation systems, while addressing challenges in data dynamics and privacy-pres…
Machine Learning (ML) is forging a new era in Applied Mathematics (AM), leading to innovative and powerful methods.
But the need for theoretical guarantees generates challenging, fundamental, deep mathematical questions.
This great challenge can be addressed from the perspective of other, more mature areas of AM.
CoDeFeL seeks to do so from the rich interface between Control Theory (CT) and ML, contributing to the analytical foundations of ML methods, significantly enlarging, and updating the ra…
FRIEDRICH-ALEXANDER-UNIVERSITAET ERLANGEN-NUERNBERG
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Spain, Bilbao
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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