Sentence examples for improvement of classification performance from inspiring English sources

In addition, issues related to the improvement of classification performance are also discussed.

The main contribution of the proposed work lies in the improvement of classification performance for the given dataset, as well as introducing a novel variant of MHI, the Gabor Motion History Image GMHII).

In this paper, it is found that aside from the deep architecture, two other biologically inspired mechanisms, the pooling and nonlinear operations, also contribute to the improvement of classification performance.

After the improvement of classification performance, we are supposed to analyze new performance on each facial color category.

The experimental results in these works show that MEMBAS leads to a significant improvement of classification performance of LAMDA (fuzzy classifier) as well as other well-known classifiers (k-NN, SVM).

Nevertheless, for the improvement of classification performance, we also find that the combination of locally weighted region and global representation could achieve more significant improvement than only the local or global approaches.

Firstly, the level of classification performance improvement offered by the machine learning tools is relatively small in this study.

Method 4 achieves a 30.51% to 51.74% improvement over Method 1, 30.92% to 42.43% improvement over Method 2, and 0.89% to 16.45% improvement over Method 3. Open image in new window Figure 11 Comparison of classification performance between Method 4 and the other three methods.

Almost all existing feature weighting approaches for naive Bayes text classifiers have some defects: limited improvement to classification performance of naive Bayes text classifiers or sacrificing the simplicity and execution time of the final models.

It is worth noting the dramatic improvement of the predictor sets inferred by the unified datasets (although biased), in terms of classification performance as well as informational content regarding the explained variation.

This allows emphasis of classification performance for certain class data rather than best overall classification.