Sentence examples for multiple classifier scores from inspiring English sources

The key contributions of the paper are: 1. Novel model to calculate brand perception from storylines Our model combines multiple classifier scores from large number of storylines to distill a comprehensive perception of a brand.

The content of this paper is organized as follows: Sect. 2 describes the concept of multiple visual perception systems, along with the corresponding multiple scoring systems, which are considered a generalization of multiple classifier systems.

Another option is to classify each original subtrial individually and average over the classifier scores.

The concept of multiple classifier systems with multiple class labels (the case in Table 1b) is then generalized to multiple scoring systems with multiple choices (items or options) (as is the case in Table 2).

Classifier selection is an important step in designing multiple classifier systems.

To utilize these features, a multiple classifier system was imported into this classifier.

Multiple classifier systems combine several individual classifiers to deliver a final classification decision.

These improvements indicate that when more classifiers are used in the multiple classifier system better improvement can be achieved.

Several methodologies exist for creating an ensemble classifier from individual classifiers; a survey on the design of multiple classifier systems can be found in [6].

The original ΔDAS28 scores were used as the classifier scores, representing a perfect classifier based on the "true" DAS28 scores underlying the noisy response calls.

For face score calculations, multiple feature extractors and multiple classifiers are used, while for speech scores, multiple feature extractors, and only single classifiers are used.