Sentence examples for improved classification accuracy is from inspiring English sources

Improved classification accuracy is obtained by relevant selection of most discriminative features using the proposed method.

However, combining texture descriptors to improve classification accuracy is not within the scope of this article.

In addition, to improve classification, accuracy is the major research objective.

Improved classification accuracy with fewer features was obtained compared to results obtained using the original set of primitive features in the expression recognition task.

Improved classification accuracy.

In an effort to improve classification accuracy, it is often desired to incorporate the results from multiple classifiers that are varied in terms of their approach or algorithm.

Improved classification accuracies may possibly be achieved with the addition of other candidate features besides EEG power including EEG coherence and cordance measures, which have been reported to distinguish depressed patients from healthy volunteers, and the EEG antidepressant response (ATR) index, which has predicted treatment response in depressed patients [ 26, 27].

Choosing the most relevant features to improve the classification accuracy is a challenging problem [6].

Based on the above experimental results, several conclusions can be obtained: VLAD-FV can be used instead as an off-the-shelf encoding method to improve classification accuracy when Fisher Vector or VLAD is going to be used.

VLAD-FV can be used instead as an off-the-shelf encoding method to improve classification accuracy when Fisher Vector or VLAD is going to be used.

The application of feature selection can be helpful for real-time intrusion detection in terms of reducing detection classification times and even sometimes improving classification accuracy, but care must be taken in the application of feature selection.