Sentence examples for model classification of from inspiring English sources

July 16, 1829 Gorizia, Italy January 21 , 1907Milan, Italy Graziadio Isaia Ascoli, (born July 16 , 1829 Gorizia, Venetia, Austrian Empire [now in Italy] died Jan . 21 , 1907Milan), Italian linguist who pioneered in dialect studies, emphasized the importance of studying living vernaculars, and prepared a model classification of Italian dialects.

In the sphere of demand model classification of Section 2, the proposed modelling system can be classified as a partial share one.

The test set was then used to interrogate the model classification of the different spectra.

For the HSI model, classification of stains is based on two dimensions, hue (dominant wavelength) and saturation (purity of the colour).

The association between CSF biomarkers and different outcome measures were analyzed using Cox proportional hazard models (conversion from MCI to AD), logistic regression models (classification of clinical groups) and mixed-effects models adjusted for age, gender, education, t-tau/Aβ1 42 t-tau/Aβ1 42presence (bandline APOElongitudinal association between biomarkers and cognitive scores).

Here, model classification, the issues of scale, and model performance testing are discussed.

Application of data mining techniques There are two types of models, classification models of organizing classes in data (identifiable sets) and regression models of determining variable dependency between them.

An interactive chart of GO terms gives access to increasingly more precise terms used in the annotations of models (see Classification of models based on GO terms for details).

To elaborate a surgically oriented and objective model for classification of emphysema heterogeneity.

In this study, we propose an ensemble learning architecture called "Cellular Automata Learning and Prediction" (CALP) model, for classification of handwritten patterns.

Further, a model for classification of multi-carrier signals is presented, including Gaussianity, cyclostationarity, and autocorrelation tests for further extracting orthogonal frequency division multiplexing signal parameters.