CORDIS Project
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This project aims to enhance machine learning applications in magnetic resonance imaging by integrating Bayesian decision-making with existing estimation techniques. It seeks to improve data acquisition and reconstruction processes for better medical imaging outcomes.
Machine learning seeks to automatize the processing oflarge complex datasets by adaptive computing, a core strategy to meet growingdemands of science and applications.Typically, real-world problems are mapped to penalized estimation tasks (e.g.,binary classification), which are solved by simple efficient algorithms.
Whilesuccessful so far, I believe this approach is too limited torealise the potential of adaptive computing.
Most of the work, such as dataselection, feature construction, model cal…
ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
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