CORDIS Project
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This project aims to create efficient algorithms for learning and testing probability distributions, addressing challenges in analyzing large datasets across various fields. It focuses on improving computational methods to handle unlabeled data effectively.
The research topic of the current proposal lies within the area of Algorithms and Complexity.The goal of this proposal is to advance a research program of developingcomputationally efficient algorithms for learning and testinga wide range
of natural and important classes of probability distributions.We live in an era of “big data,” where the amount of data that can be brought to bearon questions of biology, climate, economics, etc, is vast and expanding rapidly.Much of this
raw data frequently c…
THE UNIVERSITY OF EDINBURGH
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