CORDIS Project
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This research investigates the fundamental aspects of learning theory by examining the information required to efficiently learn concepts. It aims to develop algorithms that require less data while maintaining effectiveness in machine learning applications.
The statistical and computational theory of learning is one of the prime achievements of computer science and engineering.
This is evident both in terms of mathematical elegance of capturing intuitive notions rigorously as well as in terms of practical applicability: machine learning has effectively reshaped the way we use information.In this proposal we tackle the very basic notions of learning.
Learning theory traditional focuses on statistics and computation.
We propose to add information to…
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