Protected: Application of Variational Bayesian Algorithm to Matrix Decomposition Models with Missing Values
Application of variational Bayesian algorithm to matrix factorization models with missing values as a stochastic generative model computation for use in digital transformation, artificial intelligence, and machine learning tasks