Category: 7. Maths

Experimental settings

To verify the effectiveness of the TSTA-GCN model, experiments are carried out on two metro datasets with strict temporal consistency in data splitting. The HZMetro dataset is from Hangzhou Metro, China, with the date range…

This section compares the suggested ensemble model’s performance against that of many ML and DL models concerning two datasets used for sentiment analysis.

Dataset 1: IMDB movies Urdu review

The IMDB movie Urdu review dataset, which is built on…

So far, no unified framework has been proposed to objectively evaluate in the same way, partitional and overlapping clusterings, both intrinsically and extrinsically (see^13,20,58). To fill this gap, we propose to interpret graph clusterings as…

Random forest regressor

Ensemble ML is a powerful approach that constructs a set of classifiers and then classify new data points by taking a (weighted) vote of their predictions⁵¹. Ensemble learning creates a stronger, more accurate predictor…

Task definition

The primary task of this research is to model syndrome differentiation in TCM, which involves identifying the syndrome type of a patient based on diagnostic information such as the four diagnostic methods: inspection, listening and…