Sentence examples for model of extracting from inspiring English sources
Rather than following the traditional model of extracting complex raw materials from the earth, AMD is producing microchips and solar cells that take plentiful raw materials like silica and inscribe on them a value-creating design, building value up.
The goals of this research are: to extract semantic features of Arabic text, propose syntactic patterns of relationships among concepts, and propose a formal model of extracting ontological relations.
This forms the basis for a simple predictive tool which is termed a split lamina model, which is capable of extracting an analytical validation of the vectorial generalization.
In this paper, we apply the blind source separation model to the scope of extracting information from a workpiece about the process that made it.
In this paper, we have presented a novel deep model which is capable of extracting robust features under large amounts of outliers.
Psychometric models of the CDM family are probabilistic categorical-latent trait measurement models with the purpose of extracting multidimensional individual competence profiles (Rupp and Templin 2008).
This more complex model structure, however, naturally brings about a more demanding task of extracting the model parameters from experimental data.
Photogrammetric modeling is the process of extracting information from images captured by digital cameras (Blachut and Burkhardt 1989).
With this model, the controller is capable of extracting information and learning from the interaction in real time.
APP can be further enhanced by considering a shape context model of branches extracted from a proof-corrected database of neuron morphology (Peng et al., 2011a), so that the resultant system would be able to produce probabilistically more probable branches, instead of connecting regions purely based on intensity.
Since the outcome variable, self-reported NCDs, was binary with the range of (0,1), we applied the probit model to extract marginal effects of each determinant on observed probabilities of the outcome variable.
