DBLTD: Deep Bayesian Low-Rank Tensor Decomposition for Multivariate Data Analysis
Low-rank tensor decomposition has attracted growing attention in multivariate data analysis owning to its potentials of capturing latent representations of multivariate data correlating various data attributes. However, existing studies still have limited capabilities to represent the nonlinear relationships within mul...