The harmony random forest machine learning algorithm is suggested in this ... the suggested approach has a classification accuracy of 5.68%. Thus, the suggested harmony gradient boosting random forest ...

The proposed framework leverages a hybrid approach that combines Convolutional Neural Networks (CNNs) and Gradient Boosting to achieve accurate classification results. Early diagnosis and ...

Gradient Boosting Frank-Wolfe Boosting AdaBoost Regressor Here, we test the performance of different boosting algorithms for Classification on the UCI breast cancer dataset. The three algorithms ...

In recent years, ensemble learning or boosting has become one of the most promising approaches for analysing data in machine learning techniques. The method was initially proposed as ensemble methods ...

Extreme Gradient Boosting and Deep Learning Models for the Classification of Synthetic Space Debris Light Curves Fusing ice surface temperature with the AI4Arctic dataset for enhanced sea ice ...