The Online Soft Computing Models of key variables based on the Boundary Forest method
Sign Up to like & getrecommendations! Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-019-04584-1
Abstract: The Online Soft Computing Models (OSCMs) based on ensemble methods are novel and quite effective data-driven tools for predicting key variables. The current challenge encountered by them is how to enhance the reliability caused by… read more here.
Keywords: based boundary; online soft; boundary forest; soft computing ... See more keywords
Application of structural analysis for local development in the center region of Valle del Cauca, Colombia
Sign Up to like & getrecommendations! Published in 2017 at "International Review on Public and Nonprofit Marketing"
DOI: 10.1007/s12208-017-0173-3
Abstract: Structural analysis allows territories to review key variables in determining their current status and the path to be taken for the development of the region. Municipalities face great challenges and responsibilities with the communities they… read more here.
Keywords: region; region valle; structural analysis; key variables ... See more keywords
Optimizing the Key Variables to Generate Host Sensitized Lanthanide Doped Semiconductor Nanoparticle Luminophores
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Physical Chemistry C"
DOI: 10.1021/acs.jpcc.0c07548
Abstract: Trivalent lanthanide (Ln3+) doped semiconductor nanoparticles (NPs) provide an avenue for developing unique luminophores, which combine the properties of Ln3+ and NPs. Realizing their promise requi... read more here.
Keywords: variables generate; generate host; semiconductor; optimizing key ... See more keywords
Key Variables and Characteristics of Loan Loss Given Default: Empirical Evidence from 28 Provinces in China
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DOI: 10.1080/1540496x.2019.1668773
Abstract: ABSTRACT This article empirically investigates the impact of key variables and characteristics on loan loss given default (LGD) of small farmers using data from 28 provinces in China. The default feature of loans is not… read more here.
Keywords: variables characteristics; loan; characteristics loan; loan loss ... See more keywords
High Completeness and Accurate Reporting of Key Variables Make Data from the Danish Shoulder Arthroplasty Registry a Valuable Source of Information
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DOI: 10.2147/clep.s291972
Abstract: Purpose The Danish Shoulder Arthroplasty Registry (DSR) is a nationwide database providing data for research and health care monitoring. The aim of this study was to validate the DSR by (1) assessing registration completeness, (2)… read more here.
Keywords: registry; shoulder; danish shoulder; shoulder arthroplasty ... See more keywords