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Dirichlet process mixture models for non-stationary data streams
Casado, I.
; Pérez, A. (2022)
In recent years, we have seen a handful of work on inference algorithms over non-stationary data streams. Given their flexibility, Bayesian non-parametric models are a good candidate for these scenarios. However, reliable ...