Analyzing and developing algorithms for time-varying data

Jules Wulms, Ph.D. student in the research group Applied Geometric Algorithms of the department of Mathematics and Computer Science, has developed a new theoretical framework for the analysis of algorithms for time-varying data.

from News on Artificial Intelligence and Machine Learning https://ift.tt/34DfGSC
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