Bayesian Adaptive Tucker Decompositions for Tensor Factorization

Federica Stolf, Antonio Canale

Tucker tensor decomposition offers a more effective representation for multiway data compared to the widely used PARAFAC model. However, its flexibility brings the challenge of sel…