Sentence examples for model decomposition of from inspiring English sources

Additionally, with the above model, decomposition of TFP of the Korean manufacturing industries and agriculture in all the provinces in China were studied [6 8], and the technical efficiency (TE) of the industrial sector of China were inspect [15, 16].

In order to accomplish the multilinear model decomposition of MIMO nonlinear processes with multiple scheduling variables, a systematic division algorithm based on gap metric together with a supporting dichotomy gridding algorithm is proposed by using the gap metric as a measuring tool.

The goal of the present paper was to introduce a hierarchical Bayesian drift diffusion model decomposition of RT tasks.

Thus, a reliable diffusion model decomposition of PES would require a relatively large data set (or a data set with many errors).

As we will explain below, this one-to-one mapping between psychological processes and model parameters allows for an informative diffusion model decomposition of PES and a rigorous assessment of the extent to which each explanation (or, indeed, any combination of them) holds true.

Therefore, NMF source modeling (decomposition of complex-valued spectrogram Y n ) in t-ILRMA is partially justified when the Gaussian or Cauchy distribution is assumed, which is theoretically preferable for audio signal processing.

Given a mixed-model decomposition of the diallel, including the possibility of outliers, unobserved diallel combinations, and unknown sparsity among the parameters, stable MLE estimates can be difficult to achieve.

Presented work demonstrates scientific-methodical approach to determining and using for machines components pre-production of quantitative estimations of the structural and technological design decisions similarity on the basis of the components models decomposition to complexes of surfaces, united by forms forming technologies similarity.

In sum, the diffusion model decomposition supports an explanation of PES in terms of increased response caution.

This section firstly describes the concept of metadata-based mashup model through an example scenario, followed by the illustration of the model decomposition.

Although we can relax the conditions of PEDI so as to support more generic biological models by not requiring a model to have the form described by Equation (3), the efficiency and the accuracy of the model decomposition might decrease.