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Published in 2021 at "Inverse Problems"
DOI: 10.1088/1361-6420/ac4153
Abstract: To cope with the challenges of memory bottleneck and algorithmic scalability when massive data sets are involved, we propose a distributed least squares procedure in the framework of functional linear model and reproducing kernel Hilbert…
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Keywords:
functional linear;
least squares;
distributed least;
squares prediction ... See more keywords