Sentence examples for methods for feature from inspiring English sources

The proposed algorithms are compared with some related methods for feature selection on some open gene expression datasets and UCI datasets.

We propose generic information-theoretic methods for feature space slicing and for determining the appropriate number of subspaces for any statistical ADS.

The proposed methods for feature extraction, modeling and learning, increased the phoneme recognition rates in 28.13%, with better convergence than models based on Gaussian mixtures.

The quality of the methods for Feature Selection was estimated according to a multicriteria performance measure, which guided the ranking process of these algorithms for the construction of data metabases.

In the present study, we used forward selection and backward elimination methods for feature selection.

Han et al. (2012) introduced forward selection and backward elimination methods for feature subset selection.

We have developed two methods for feature-space resampling based on this observation.

In conjunction with modified SVM classifier, we use Fishers method for feature selection.

A method for feature subset selection has also been introduced too.

Finally, adjacent section contours were matched directly with Fourier-Mellin curve matching method for feature extraction.

Test provided, allowed to identify the best method for feature combination.