Articles with "regularized extreme" as a keyword



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Stone weir scour modelling in curved canals using a weighted regularized extreme learning machine *

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Published in 2021 at "Irrigation and Drainage"

DOI: 10.1002/ird.2592

Abstract: In this paper, a novel weighted regularized extreme learning machine (WRELM) was used for the first time to simulate the scour depth around J‐, I‐ and W‐shaped stone weirs in curved canals. In the first… read more here.

Keywords: extreme learning; regularized extreme; wrelm; learning machine ... See more keywords
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Timeliness Online Regularized Extreme Learning Machine

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Published in 2018 at "International Journal of Machine Learning and Cybernetics"

DOI: 10.1007/978-3-319-28397-5_37

Abstract: A novel online sequential extreme learning machine (ELM) algorithm with regularization mechanism in a unified framework is proposed in this paper. This algorithm is called timeliness online regularized extreme learning machine (TORELM). Like the timeliness… read more here.

Keywords: online regularized; machine; extreme learning; learning machine ... See more keywords
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A fast single-image super-resolution via directional edge-guided regularized extreme learning regression

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Published in 2017 at "Signal, Image and Video Processing"

DOI: 10.1007/s11760-016-1045-8

Abstract: The goal of super-resolution (SR) is to increase the spatial resolution of a low-resolution (LR) image by a certain factor using either single or multiple LR input images. This paper presents a machine learning-based approach… read more here.

Keywords: resolution; directional edge; image; regularized extreme ... See more keywords