Sentence examples for prior improves from inspiring English sources

This indicates that not all of the edges are well supported by the data and therefore increasing the effect of the prior improves the algorithm.

We used these datasets along with 150 priors (covering 6 different accuracy levels), and completed over 1.7 million inferences to determine if and when a functional association prior improves GRN inference.

On the other hand, the multithreshold method with both LD and MAF prior improves the resolution by 2.4% on average for all SNPs and by 4.0% on average for SNPs with mid-range power.

In Mostafavi et al. (2008), it was shown that an ℓ2 norm regularization (also known as ridge regression) to a mean weight prior, improves performance in such categories (Section 5.1.1).

A comparison of Figure 1 parts (A) and (B) shows that a functional association prior improves inferences for GNW-generated data (from a noisy, nonlinear model) much more than for GSP-generated data (from a less noisy, linear model) if the actual sparsity level is unknown; this is shown by the difference in mean (dark blue) or median (light blue) boxes at the same prior accuracy.

As shown in the table, IDRN with different community prior improve the metrics over the one with global prior.

The fact that the prior improved inferences based on the GNW-generated data much more than the corresponding inferences based on GeneSpider-generated data might be explained by the differences in the two generators.

Furthermore, using exponential priors improves the method's power to detect temporally random divergences.

It is shown that flexible non-parametric priors improve estimation of response functions in both cases.

Figure 7 e) shows the final contour using our optical flow GVF snake with primitive priors (yielding a sensitivity, precision rate, and overlap ratio of 85.2%, 91.9%, and 79.2%, resp .. Examination of the figure reveals that the shape priors improve regularity by allowing the snake to overcome noise artifacts.

I use this method to test whether alternative parameterizations and priors improve the behavior of the approximate-Bayesian model-choice approach to estimating shared divergence events.