Sentence examples for most common classifiers from inspiring English sources

The results of performance of the new classifier with the most common classifiers on the four benchmark databases have been recorded in tables and graphs.

For the task of human shape classification, the most common classifiers are support vector machine [18], adaboost [19], and neural networks.

Since twigs were used for counting items, became a counter word: any items, including people, could be counted as "one, two ", etc. was the most common classifier in use during the Southern and Northern Dynasties period (420 589 CE), but today is no longer a general classifier, and is only used rarely, as a specialized classifier for pins and badges.

The most common classifier used to distinguish between seizure and nonseizure events has been the support vector machine (SVM).

Ge is the most common noun classifier (i 'one,' yi ge ren 'one person'); others are suo (yi suo fangzi 'one house') and ben (liang ben shu 'two books').

Binary two-state classifiers are the most common applications.

The most common active learning approaches rely on classifier confidence to select queries [4] and assume that the pre-labeled set covers all the labels to learn.

All the clusters in the final classifier were the most common chosen during the cross-validation process suggesting the presence of other strong biological signals.

This has been the most common approach in the development of NN ECG classifiers [ 3, 5- 7].

When classes are imbalanced, conventional learning algorithms often produce classifiers that do little more than predict the most common class.

The most common approach is the one-versus-all strategy where a classifier is trained as positive label for one class and negative label for all other classes.