### Panel A - (the most basic) model formulation (with classical ARD priors)
The model for high quality data classification follows a regression form with ARD priors. The low-quality model is trained by marginalising over the posterior distribution of the high quality coefficients $`\mathbf{w}^{H}`$ to give (the distribution of) a set of low-quality coefficients (with ARD priors likewise).
