Sentence examples for more complex classifications from inspiring English sources

Exact(3)

For example, different plant species may simply be characterized as herbs, forbs, trees, or nitrogen-fixers, or more complex classifications can be employed [ 15].

While lack of data on stillbirth cause-of-death is a large hurdle to overcome, another major barrier is the lack of a classification system that is feasible for low-income countries and which is based on categories that can be mapped alongside more complex classifications which are useful in high-income settings [ 49].

While lack of data is a large hurdle to overcome, another major barrier that could be more rapidly addressed is the lack of a classification system for low-income countries that is feasible, but maps in a comparable way onto more complex classifications.

Similar(57)

This scenario presents a more complex classification task involving five different classes.

As a result, inappropriate features or a poor configuration of features can lead to a deterioration of classification performance, or a more complex classification algorithm may be required.

Section 8 contains a major application of our methodology to a larger set of syllables in a more complex classification study.

A slightly more complex classification, describing seven grades of abnormal virilization, has been proposed by Quigley and collaborators [2].

With more complex classification systems and more careful investigation, the percentage of unexplained stillbirths can be reduced.

For high-income countries, many of the existing more complex classification systems that may require more investigations can be mapped onto simpler clinical categories.

This study has illustrated LR is as good and if not better than some of the newer more complex classification techniques.

Previous papers have also demonstrated that naïve Bayes classifiers may outperform more complex classification methods and show good average performance in terms of classification accuracy, especially over data sets having features that are not strongly correlated [ 22].

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