Sentence examples for conditional function from inspiring English sources

Apply the conditional function from raster calculator.

It is because we cannot apply directly the conditional function since the expectation in (53) is not of the form h ( σ x 2 | Δ ) = E x 2 | x | < Δ.

Conditional function (Duan et al. 2011) and Reynolds stresses (Nakagawa and Nezu 1977; Raupach 1981; Raupach et al. 1996) are some of the most important parameters that can quantify turbulence around the hydraulic structure.

The enrichment of miRNA*s suggests that they might have a conditional function, as may also be supported by their association with predicted targets and the presence of potential target RNA cleavage products in degradome databases [76].

On the assumption that the probability variable X i is subjected to a multiple normal distribution, each conditional function in equation (1) is obtained by linear regression for the measured data of the constituent nodes (molecules) measured at m points, i.e., (2) where x ik is the measured value of X i, at the k-th point, and n i is the number of variables corresponding to the parents of V i.

The input-output relationships were defined by fuzzy conditional functions that are known as fuzzy "if-then" rules.

Reichenbach gives no axiomatization and no rules of inference (although passages suggest he intended an analog of modus ponens to hold for his two new conditional functions) and of course he therefore provides neither soundness nor completeness theorems.

One of the interesting features of our result, is that it holds for different representations of epistemic states; for instance conditionals, ordinal conditional functions and, of course, total preorders.

The measured turbulent flow field (e.g., turbulence intensities, Reynolds shear stresses, turbulence diffusion, conditional functions and flow structures) at various levels in the upstream of the flow is needed for accurate estimation of sediment transport.

The conditional functions were quantified into log-likelihoods, using linear regression for the measured data, with the assumption that the data followed a normal distribution.

In this model the conditional mean function and the conditional variance function are unknown curves.