Sentence examples for binary classifier based on from inspiring English sources

This regression is a binary classifier based on one or more input variables.

Thus, in the proposed approach, we specially develop a binary classifier based on sparse representation.

In this section, a binary classifier based on sparse representation is developed for discriminating the object from the background.

However, in the proposed approach, the binary classifier based on sparse representation can effectively detect and prevent the occlusion from the updating of object model.

Figure 6 presents the receiver operating characteristic (ROC) analysis of a binary classifier based on the MW, HBA, logP and HBD estimates.

As for the robustness of the proposed scheme to identity drift, it mainly benefits from the binary classifier based on sparse representation, which can effectively identify the background sample even when the background model is not well trained.

The authors developed a binary decision tree classifier based on miRNA expression with tissues displaying the highest specificity of certain miRNAs placed at the top of the tree.

The methodology involves training a sequence of binary classifiers based upon single-site damage data and combining the developed classifiers into a robust multi-class damage locator.

A machine learning classifier, specifically a user-facing falling rule list (FRL) classifier based on binary features derived from LL87 data, is developed here to predict ECM eligibility given a specific set of building characteristics.

The naïve Bayes classifier is a probabilistic classifier based on the Bayes' theorem [15].

Figure 5 Discrimination classifier based on subjective estimating.