Bayesian adaptive tensor ring decomposition with automatic model selection.
A robust non-parametric Bayesian method known as the Bayesian adaptive tensor ring decomposition (BATR) method, which accomplishes an adaptive low tensor ring (TR) rank model by incorporating a more advanced generalized hyperbolic (GH) prior into the probabilistic framework, thereby facilitating automatic TR rank determination.