Sentence examples for many other classification from inspiring English sources

Many other classification systems for mushroom poisoning have been developed over the years [7 9].

The proposed approach was compared with many other classification methods and the results show competitive accuracy with these methods.

For unbalanced data, our approach maintains the balance between sensitivity and specificity more adequately than many other classification methods considered in this study.

Although many other classification methods are available, decision trees (DT), rule-based methods such as logistic regression (LogR), linear regression (LR), Naive Bayes (NB), support vector machine (SVM), k-Nearest Neighbor (k-NN), and artificial neural networks (ANN).

With the new method, we got much better results in terms of both training and testing data accuracies than many other classification algorithms like minimum Euclidean distance, Fisher linear likelihood and extraction and classification of homogeneous objects, which is a spectral-spatial classifier algorithm.

In addition, it allows visualization of distances between populations on a plane [41], which many other classification methods do not.

Many other classifications exist and new ones could be made, but what is important from the point of view of participation in assessments is the possible influence that is allowed for participation in different assessment settings.

The problem of vehicle classification is different from many other object classification problems [10], where the difference between object classes is considerable (e.g., airplane vs motorcycle).

However, as many other prognostic classifications, the IGCC classification only considers survival in determining different prognosis groups and does not take the possible (long-term) harm of alternative treatments such as high-dose chemotherapy into account.

The presented methodology is quite general as it makes no system-dependent assumptions and can thus be transferred to many other embedded classification applications.

Experimental results reveals LDABoost making categorization in a low-dimensional space, it has higher accuracy than traditional AdaBoost algorithms and many other classic classification algorithms.