ELM Ridge Regression Boosting
This work addresses the need for more robust and accurate ELMs in machine learning applications, but it appears incremental as it builds on existing methods like Ridge Regression and boosting.
The paper tackles the problem of improving classification performance and robustness in Extreme Learning Machines (ELMs) by proposing a boosting approach for Ridge Regression, resulting in significant enhancements.
We discuss a boosting approach for the Ridge Regression (RR) method, with applications to the Extreme Learning Machine (ELM), and we show that the proposed method significantly improves the classification performance and robustness of ELMs.