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Published in 2019 at "International Journal of Computer Mathematics"
DOI: 10.1080/00207160.2018.1469748
Abstract: ABSTRACT We derive the convergence rate of the moving least-squares learning algorithm for regression under the assumption that the samples are drawn from a non-identical sequence of probability measures. The error analysis is carried out…
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Keywords:
identical sampling;
least squares;
moving least;
error analysis ... See more keywords