Sentence examples for possibility of fitting from inspiring English sources

As a way around the problem, Obama administration officials are exploring the possibility of fitting a Navy auxiliary vessel, the Cape Ray, with mobile hydrolysis units for destroying the chemical agents at sea, The Associated Press reported.

The possibility of fitting a factor model to the aggregated data of the first two samples was evaluated using the Kaiser−Meyer−Olkin (KMO) index.

This property offers the possibility of fitting the model outputs to experimental data and allows us to propose hypotheses about physiological and pathological mechanisms.

Both approaches have the clear advantages of simplicity and the possibility of fitting to an evolving greenhouse gas emission reduction regime.

This work assesses the possibility of fitting an organic Rankine cycle (ORC) system in a commercial agricultural tractor, recovering waste heat from a 300-kW brake power heavy-duty diesel engine.

(3) Moreover, in contrast to Yu's method, our method has the possibility of fitting a more accurate ellipse because inliers are selected from all the input data in each iteration step, meaning that the number of data to fit an ellipse does not decrease by iterations.

Young women might be much more willing to lean in if they saw better models and possibilities of fitting work and life together: ways of slowing down for a while but still staying on a long-term promotion track; of getting work done on their own time rather than according to a fixed schedule; of being affirmed daily in their roles both as parents and as professionals.

Although there might be a possibility of data fitting in arbitrary cutoff values, the blinded protocol design and the performance of ROC curve analysis (Hanley, 1989) used here can prevent that it could have influenced the final conclusive results.

AIC, AICC, SC, and MSC all include an extra penalty term for the number of parameters, trying to account for the possibility of over-fitting the model.

In the second experiment set, GP had lower error than LR, but outperformed BT only when we applied a technique that specifically mitigated the possibility of over-fitting.

This fact may also reduce the possibility of over-fitting our training data.