Abstract: Decision tree boosting algorithms, such as XGBoost, have demonstrated superior predictive performance on tabular data for supervised learning compared to neural networks. However, recent ...
Abstract: This paper presents a novel adaptive moving window forgetting factor method specifically designed for the decoupled recursive least squares approach applied to the second-order equivalent ...
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