Sentence examples for be capable of fitting from inspiring English sources

Exact(3)

Barcelona have certainly become aware of the need for more variety and creativity in attack and Neymar should be capable of fitting into their formation and philosophy.

I did not even fathom that I could be capable of fitting into such a role.

Nonetheless, our results showing a metabolic model to be capable of fitting observed glucose profiles for a specific meal, be it LF or HF (Fig. 1), suggests that model analysis could potentially be used to calculate the optimal insulin dosing and delivery pattern (dose amount and duration) for any meal.

Similar(57)

Sophisticated statistical methods such as multiple interval mapping are capable of fitting main and interacting QTL effects simultaneously, and iteratively converging on a best-fitting model.

The model is capable of fitting growth curves initiated at different inoculation levels by taking into account the initial cell attachment distribution for microcarrier cultures.

SVM is capable of fitting a surrogate model with the best prediction performance based on the coefficient of determination and root mean square error.

Instead, our model automatically constructs a suitable nonlinear kernel for dynamic modeling and therefore is capable of fitting various types of dynamics.

Proving that you have the skills to speak your mind and bond and socialise with those around you will show that you're capable of fitting into a financial system based on people.

The communicating channel bed model is capable of fitting the improved displacement of MBL in the channel bed when the polymer solution is used as the displacing phase instead of water.

Although the model is capable of fitting the pressure drop profiles during displacement of the MBL with water, the pressure drop calculated by the model is higher than that obtained experimentally during displacement of the MBL with the polymer solution in the channel bed.

The classification method, based on the Support Vector Data Description (SVDD), has a suitable formulation for this task, because it is capable of fitting a model on a relatively small set of examples, which may also include negative examples (patterns from other known classes or even novelties), with maximal margin separation.

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