Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/96957
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Type: Journal article
Title: Improving partial mutual information-based input variable selection by consideration of boundary issues associated with bandwidth estimation
Author: Li, X.
Zecchin, A.
Maier, H.
Citation: Environmental Modelling and Software, 2015; 71:78-96
Publisher: Elsevier
Issue Date: 2015
ISSN: 1364-8152
1873-6726
Statement of
Responsibility: 
Xuyuan Li, Aaron C. Zecchin, Holger R. Maier
Abstract: Abstract not available
Keywords: Artificial neural networks; Data-driven models; Partial mutual information; Kernel density estimation; Kernel bandwidth; Boundary issues; Hydrology and water resources; Input variable selection
Rights: © 2015 Elsevier Ltd. All rights reserved.
RMID: 0030031976
DOI: 10.1016/j.envsoft.2015.05.013
Appears in Collections:Civil and Environmental Engineering publications

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