Sentence examples for model increases as from inspiring English sources

The difference in pressure distribution between the top and bottom of the model increases as the ground clearance is reduced.

The uncertainty of the traditional heat transport model increases as the penetration depth of thermal front through the aquifer increases.

Results show that the difference between the predictions of a fully diffusion-limited model and that of the combined model increases as temperature is reduced.

Both of these results show that the power of inputs to induce spikes in the LIF model increases as the input time course is made less uniform.

In fact, the memory footprint of the model increases as O(n m+1), where n is the number of samples and m is the number of independent parameters.

By contrast, the cumulative number of events produced by the Weighting Waiting model increases as a sigmoid, rather than a linear function of the logarithm of time (Fig. 6), and the event rate does not fall off according to the inverse of the time elapsed (Fig. 7).

A classical Batesian Müllerian dichotomy was defined as when the risk to the Model increased as long as the Mimic was palatable, did not change if the Mimic was neutrally palatable, and decreased as long as the Mimic was unpalatable.

As we add further states and Gaussian components into the HMM topology, we improve the system performance, but at the same time, training time of the models increases as well.

It is shown that discrepancies between measurements and results from the TNO model increase as the pressure gradient increases.

The slope and R-squared of the linear regression model increase as the reliability coefficient decreases.

Tight constraint on the sum of the coefficients enforces sparseness on the model with the number of covariates in the model increasing as this constraint is relaxed.