When Is the Right Time to Refresh Knowledge Discovered from Data?

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Mathematical optimization in classification and regression trees (2021, background): “The main exponent of bagging is Random Forests (Biau and Scornet 2016; Breiman 2001; Fawagreh et al. 2014; Genuer et al. 2017), while two of the most popular approaches to boosting are AdaBoost (Freund and Schapire 1997) and Gradient Boosting Machines (Friedman 2001, 2002).”
Strongly agree or strongly disagree?: Rating features in Support Vector Machines (2016, background): “…also like to keep the costs of learning the classi er low, where these costs arise from retrieving the features (Carrizosa et al. 2008, Turney 1995), obtaining feature information from the classi er (Saar-Tsechansky et al. 2009), or refreshing the classi er to include new data (Fang et al. 2013).”