Apart from simple diagnosis, the study takes an important step toward predictive health monitoring by modeling the risk of ...

Application of Random Forest Algorithm on Feature Subset Selection and Classification and Regression. In 2017 World Congress on Computing and Communication Technologies (WCCCT) (pp. 65-68).

We implemented a quantum-classical hybrid algorithm that frames feature selection as a polynomial constrained binary optimization problem (PCBO-Tournament). Our approach leverages quantum resources ...

The GA-RF model performs better than RF model on ROC curve, which is due to the optimization of key aspects of the model by genetic algorithm, including feature selection, hyperparameter adjustment, ...

Aiming at the problems of traditional forest optimal feature selection algorithm in the initialize phase, local seeding phase, and update phase, a new feature selection algorithm is proposed, which is ...

However, because the filter-based feature selection method is separated from the evaluation strategy of the learning algorithm in the process of gene subset selection, it is difficult to determine ...