Sentence examples for trend classification from inspiring English sources

The research framework is shown in Fig. 1 and includes 4 steps: (1) data collection and preprocessing, (2) subjective sentence identification, emotional trend classification, and object description extraction, (3) the object library of the financial reports, and (4) empirical analysis.

Compounds increasing in concentration were observed to have lower maximum concentrations than decreasing ones, requiring the simulation to be based on trend classification (with concave compounds being treated as increasing).

2) Time-trend classification into transient wheeze (ending before 3 years), persistent wheeze (starting before 3 years, persisting beyond 6 years) and late-onset wheeze (starting after 3 years); this population classification was based on analysis of the Tucson birth cohort [ 92].

If there is a significant ascending trend in classification accuracy array this time, it means that adding a hidden node can effectively improve classification performance.

The general trend in classification in the Middle Ages is exemplified by Vincent of Beauvais's Speculum majus, which was arranged in three sections: "Naturale"—God, the creation, humankind; "Doctrinale"—language, ethics, crafts, medicine; "Historiale"—world history.

The RF rises gradually from 56to5858, whereas SVM remains stable between 57 and 57.5. Figure 6 illustrates a decreasing trend for classification error in the three dataset.

One previous work that seems to support this thought is [62], where an inconclusive trend of classification accuracies was observed as a function of band selections made with increasing number of highest-magnitude wavelet coefficients.

The common trends in classification rates of Figure 3 reveals following points: 1. Accuracy of both MLP and GMM models is enhanced by increasing the number of batch frames T, acoustic features k a and visual features k v.   2.

Our analysis of the regional trends in classification indicates that more consultants in the Northern regions of the country prefer to classify OASI as 2nd degree.

The logistic regression model was slightly less successful than GENN (77.3% overall correct), and followed the same trend of higher classification rates for cases than controls.

Emphasizing interactions between genes or biological marks is a developing trend in cancer classification and informative gene selection.