Sentence examples for prefer variable from inspiring English sources

To effectively capture the properties of different structures and textures on ocular SDOCT images (e.g. noting that each retinal layer has a different thickness) with the learned dictionary, it is natural to prefer variable sized training patches.

We did not use automated procedures based on p-values to directly select a final set of predictors because we prefer variable selection based on criteria similar to the model evaluation criteria, and because automated selection is highly unstable and bound to overfit when there are small groups and a large number of candidate variables [ 25].

The only difference between projections using the pro-gun scholars' preferred variables and the other two panels came when singling out murder.

In the dry season, elephants prefer less variable landscapes that are more consistently green year-round such as well-wooded areas and closed woodlands.

The same interpretation holds for class 3 OsALDHs (another abundant ALDH family members in rice), which prefer highly variable substrates such as aliphatic and aromatic aldehydes [18].

Conditional inference trees were proposed to overcome a serious problem of standard CART and RF algorithms, namely that variables offering more cutpoints are artificially preferred in variable selection.

It's commonly used with the thermal scope attachment, though some players like Optic Gamin star Matthew Nadeshot Haagag prefers the variable zoom as it cannot be countered by the Cold Blooded perk.

Otherwise, constant delays are to be preferred over variable ones.

Overall, the data obtained from the reward magnitude and delay-to-reward manipulations were indistinguishable; subjects experiencing low-response effort requirement behaved in a risk-indifferent manner and subjects experiencing high-response effort requirement preferred the variable schedule.

A new strategy is proposed for designing and implementing control systems capable to efficiently handle limiting values (constraints) of principal or preferred manipulated variables by combining the control action with a secondary or axiliary control variable.

This was probably because the partially observed continuous variables in our data were approximately normally distributed; predictive mean matching may be preferred for variables that are not (conditionally) normally distributed (35).