Sentence examples similar to based and features based from inspiring English sources

Using spoken responses of test takers participating in an English practice assessment, three classes of grammatical features – features based on n-grams of part-of-speech tags (POS), features based on various clause types, and features based on various phrases – are compared in an end-to-end assessment system.

We use three different sets of features for the recognition of obscene videos, namely features based on the information of single frames, features based on 3D STV, and features based on motion and periodicity characteristics.

Features here are mainly divided into two categories, features based on peptide sequence and features based on physicochemical properties.

There are mainly two sorts of features that are usually extracted from a peptide: features based on peptide sequence and features based on physicochemical properties.

AMC methods are grouped into two categories: likelihood based (LB) and feature based (FB) methods.

Existing AMC methods (that assume G noise only) are grouped into two categories: likelihood based (LB) and feature based (FB) methods.

User based features included number of followers and followees, number of past tweets etc. Topic based features were derived from user based and message based features to include fraction of tweets that contained hashtags, URLs and positive and negative sentiments.

The authors used source based and content based features to indirectly measure the credibility of tweets and their sources.

Region based and lesion based features were tested and gave satisfactory performance [ 127] and [ 128].

The hybrid approach presented here combines the strengths of feature based and grid based methods to produce globally consistent high resolution maps within various types of environments.

The types of features used to characterize each tweet were of four types: message based features, user based features, topic based features and propagation based features.