Sentence examples for functions of model from inspiring English sources

Exact(16)

These properties hold for the combination of representers that is associated with a group of observations and functions of model variables that combines model variables (e.g. salt flux).

Probability density functions of model parameters which in most cases are non Gaussian and multimodal are learned from training data and approximated by Gaussian mixtures.

Furthermore, a delay-independent tracking scheme using nonlinearly transformed error surfaces is simply designed without the knowledge of nonlinear bounding functions of model nonlinearities, the adaptive technique, and the calculation of repeated time derivatives of certain signals.

Probability distribution functions of model parameters relevant to hydrology, geo-forms and crop distribution were derived from satellite imagery (SAC-C, SRTM), while crop characteristics, information on soils and pesticides were obtained from field data.

This concept is based on a prior that combines a simplified linear state space model of the temporal evolution of the dynamic model with Gaussian stochastic processes for the innovation terms as functions of model parameters and/or inputs.

In Bayesian model updating, probability density functions of model parameters are updated accounting both for the information contained in the data and for uncertainties present in the measurements and model predictions, requiring a probabilistic model for the error between predictions and observations.

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A prototype system GeosensorNodeManager is implemented to provide the functions of modeling, querying, and visualizing node resources.

Fig. 5 Slip velocity functions of Models S1 and S2.

It has technical functions of modeling, rendering and animation, and mainly adopts the polygonal method for 3D modeling.

The interval estimates for the component smooth functions of models h1 and h2 are obtained using the Bayesian approach to uncertainty estimation (Wahba 1983; Silverman 1985; Wood 2006b).

Figure 3 provides a statistical summary of CV for modeled exposure metrics (output) as a function of model input parameters for all chemicals.

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