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Published in 2017 at "Neural Computation"
DOI: 10.1162/neco_a_00969
Abstract: We propose a method for intrinsic dimension estimation. By fitting the power of distance from an inspection point and the number of samples included inside a ball with a radius equal to the distance, to…
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Keywords:
dimension;
estimation generalized;
dimension estimation;
intrinsic dimension ... See more keywords
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Published in 2020 at "Entropy"
DOI: 10.3390/e22090965
Abstract: Predictive models play a central role in decision making. Penalized regression approaches, such as least absolute shrinkage and selection operator (LASSO), have been widely used to construct predictive models and explain the impacts of the…
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Keywords:
estimation generalized;
regression;
consistent estimation;
generalized linear ... See more keywords