Your English writing platform
Free sign upExact(11)
In this section, we review some ranking models in data envelopment analysis.
In this subsection we review the some ranking models in data envelopment analysis.
Decision tree (DT) is one of the most popular learning models in data mining.
We conclude that wavelet-generalized least squares may be a generally useful estimator of regression models in data complicated by long-memory or fractal noise.
In order to implement this logic, the error models in data reconciliation and the formulas for evaluating conditional probabilities of type I and II mistakes have also been derived.
I've never sought out female role models in data science, nor bemoaned their scarcity, as I never worried for a moment that my gender should limit my ability or accomplishments.
Similar(49)
This agreement shows the excellent ability of this model in data predicting.
Ndomba et al. (2008) intended to validate the Soil and Water Assessment Tool (SWAT) model in data scarce environment.
Consider a variational model in data assimilation as follows: Assume that (u_{R}) is the remote sensing observed value.
Mobile Agent (MA) technology has been recently proposed in Wireless Sensor Networks (WSNs) literature to answer the scalability problem of client/server model in data fusion applications.
This is useful for hydraulic modelling in data scarce flood plain areas, where sharp elevation differences are dominated by man-made elevated elements.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com