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stat.ML2024
AR-Sieve Bootstrap for the Random Forest and a simulation-based comparison with rangerts time series prediction
Cabrel Teguemne Fokam, Carsten Jentsch, Michel Lang +1
The Random Forest (RF) algorithm can be applied to a broad spectrum of problems, including time series prediction. However, neither the classical IID (Independent and Identically d…
stat.ML2020
Random boosting and random^2 forests -- A random tree depth injection approach
Tobias Markus Krabel, Thi Ngoc Tien Tran, Andreas Groll +2
The induction of additional randomness in parallel and sequential ensemble methods has proven to be worthwhile in many aspects. In this manuscript, we propose and examine a novel r…