BONE is a unifying framework that expresses many existing Bayesian online learning methods as combinations of five design choices, plus a new runlength-based method that handles both gradual and sudden changes.
Bayesian online prediction of change points
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A unifying framework for generalised Bayesian online learning in non-stationary environments
BONE is a unifying framework that expresses many existing Bayesian online learning methods as combinations of five design choices, plus a new runlength-based method that handles both gradual and sudden changes.