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The strategy is also adopted in our approach with random projection theory [11].
This method is based on the wrapper approach with random search strategy for subset channel selection.
Besides providing spatial predictions of soil water retention at the catchment scale, the study presents a detailed methodological insight to model setup and validation of the underlying machine learning approach with random forest.
Two approaches have been used to model the randomness of the column capacity: (1) calibrated Cubic Rankine Gordon curve (CRG) approach with random representation of σc and E∗ and (2) column capacity distribution fitting.
This paper develops a RBD approach that integrates a Monte Carlo Simulation (MCS -based RBD approach, naMCS -basedxpanded RBD approach, with ranamelyield theory to modexpanded diRBDtly approachicitly, the inherent spatial variability of soil properties in RBD of drilled shafts.
We also study the relation of the minimum volume set approach with random set theory when α is a random variable and extend the most specific probability possibility transformation proposed in [System Theory, Knowledge Engineering and Problem Solving, in: Fuzzy Logic: State of the Art, vol. 12, Kluwer, 1993, pp. 103 112] to continuous piece-wise strictly monotone probability density functions.
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This study showed that the rheological and hardened properties of SCC can be predicted using regularized least square approach along with random kitchen sink algorithm.
Bayesian approaches with random-effects and fixed-effects models were used to synthesise data.
This method adopted a wrapper approach with a random search strategy for subset channel selection.
The repeated measures data were analyzed based on a univariate split-plot approach with a random effects-mixed model.
The hazard and amenity effects of the WNP before and after a landslide event are analyzed using a difference-in-difference approach with a random coefficient model.
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