Sentence examples for then classifying from inspiring English sources

An ensemble selection for feature-based classification of diabetic maculopathy images is suggested by Chowriappa et al. [44] based on extracting textural features and then classifying into the disease severity classes by using classifiers such as the hidden Naïve Bayes, Naïve Bayes, sequential minimal optimisation (SMO) and the tree-based J48 algorithm.

Splitting the documents into segments and then classifying them has a near-magical effect on precision.

The first one is based on detecting the sound boundaries and then classifying each end-pointed segment.

The main concept of that work is the idea of dividing each video trace into scenes, and then classifying the detected scenes into low or high-activity ones.

Specifically, cross-lingual text categorization deals with learning a text categorization model from a set of training documents written in one language (e.g., L1) and then classifying new documents in a different language (e.g., L2).

In order to build a sentiment analysis model, we propose in this paper a three stages-based methodology that consists of, first building sentiment words, then classifying and balancing this set of words before executing the prediction algorithm.

New examples are then classified using the trained classifier.

The feature vectors are then classified by an SVM classifier with RBF kernel.

Counties were then classified into 10 groups of equal population size.

It then classified most of the fees from the extended agreements as new license revenue and booked it immediately.

Later, Goode heard about a shipment of Pyxis arachnoides — spider tortoises, also from Madagascar, then classified as vulnerable.