Algorithm 1: Calculate Hyper-Parameters Value with Monte Carlo Expectation Maximization

input: Training data ${\mathit{X}}^{(\mathbf{k})}$, ${\mathit{y}}^{(k)}$, where $k\in 1,\dots ,M$;  output: Hyper-parameters $\mathit{\theta }$;