Sentence examples for more sophisticated classifiers from inspiring English sources

Similarly, a simple logistic/softmax regression classifier can be replaced by more sophisticated classifiers [15] or alternative tree-based schemes [46] to achieve even better discrimination.

The MMES metric can be used either in this empirical statistical model or in other more sophisticated classifiers, such as logistic regression.

However, previous literature has reported that Naive Bayes frequently tends to work well, and frequently better than more sophisticated classifiers, when the data are sparse compared to the dimensionality of the problem, even when the features (e.g., in our case, the functional linkage graphs and category feature vectors) are not truly conditionally independent [34], [35].

In forthcoming projects, more sophisticated classifiers and training schemes should be exploited for the prediction.

Lee et al. [ 11] observed the same results and found that, in general, more sophisticated classifiers give better performances than do classical methods.

Palindrome frequency ratios as presented here could be incorporated into more sophisticated classifiers such as self-organizing maps, Bayesian classifiers, or support vector machines.

The latter are identified with the more sophisticated classifier.

In this study, we seek to reduce this delay by using a more sophisticated classifier.

Another line of future research is the construction of more sophisticated SVM classifiers.

In this work, we first present the performance of a simple threshold based scheme, and next compare that against the performance of a more sophisticated Bayesian classifier based model.

The use of meta-classifiers is a more sophisticated method of classifier combination, which uses the individual classifiers' outputs as input for a second classification step.