Sentence examples for errors can be described from inspiring English sources
The main idea of our analysis is that the errors can be described by a mixture of Gaussian distributions rather than a single Gaussian distribution.
Such errors can be described by a stuck channel with a transition probability p = 0.01 u as shown in Figure 2.
Over-and under-segmentation errors can be described in terms of precision and recall.
Additionally, we define how DEM error can be described differently depending on the available validation data.
And relative error can be described as follows: varepsilon = frac{{left| {D_{text{p}} - D_{text{m}} } right|}}{{D_{text{m}} }} times 100% (8).
In such cases, an exponential residual error can be described for each case as follows: Because assay error is often a minor component of RUV, other sources, with different properties should be considered.
First, the background ionosphere introduces both delay and frequency dispersion errors, which can be described adequately by conventional models to a first-order degree.
It is shown that the closed-loop error dynamics can be described by polytopic linear differential inclusions.
According to Definition 3.1, the error system can be described by D^{alpha}e(t)=-Ce(t)+Abigl[fbigl y(t bigr -beta f bigl(x(t bigr -beta+(1-beta)I+u(t).
The error system can be described by the following equation: dot{e}(t)=dot{y}(t -dot{x}(t -dot{xAe(t)+Bbigl(gbigl(y(t) bigr)-gbigl(x(t-tau )bigr)bigr)+u(t).
