Sentence examples for models that compose from inspiring English sources

The rest of this article is organized as follows: the framework is presented in Section 'Modeling and simulation framework' as well as the models that compose the WSN node architecture.

The disagreement among the models that compose the ensemble can be generated when they are built under different circumstances, such as training dataset, parameter setting and selection of learning algorithms.

For this viewpoint, since different agents localized in the same coordinated point Z k can be motivated by different attractive areas, each velocity field effect should be individuated and included into the KFs' dynamic models that compose the proposed bank of filters as shown (13): A_{s} : = (X_{k+Delta k} = FX_{k} + BU_{k}^{s} + w_{k}), (13).

n x is the number of unit models that compose the higher layer network.

The maximum (MAX operator) values among the values provided for each compound by the independent classifiers that compose the ensemble and the average (AVE) of the two values provided for each compound by the two independent models that compose the ensemble were used as data fusion schemes.

A further consequence of the extensive approaches for acoustic modelling is the increase in computing resource requirements, especially memory footprint: classical LVCSR systems rely typically on acoustic models that are composed by more than 10 million free parameters and 60 K words in the lexicon.

The method requires the definition of the models of the elements that compose the system, i.e., the rotor, the bearings and the foundation, as well as the models of the faults, which can be represented by harmonic components of equivalent force or moment systems.

Both a regional space and a landscape can be described by knowledge models that should inevitably be composed of a part of explicit knowledge and a deeper share of implicit knowledge.

A disaggregation technique proposed by Iyer and Grossmann (Industrial and Engineering Chemistry Research, 37, 474 481, 1998) is applied to the model that is composed of assignment and planning subproblems.

The approach relies on a kernel model that is composed by an "emissivity kernel" and a "solar kernel", associated to observation angle anisotropy and to shadowing/sunlit effects on the surface, respectively.

This system regards each part model of a deformable part model (DPM) detected human [30] as a kernel, where the DPM represents a human object by a so-called star model, that is composed of a coarse root filter and several higher resolution part filters as shown in Fig. 7, and adopts the deformation cost provided by the DPM detector to restrict the displacement of kernels during human tracking.