Capacities of Some Other Machine Learning Methods

As we have seen in previous chapters, memory-equivalent capacity (see Definition 5.5 ) is an important metric to understand the efficiency of parameters in a machine learning model, and it brings us one step closer to reproducibility (see Corollary 3 and Chap. 15 ). This chapter therefore discusses other machine learning approaches and how to calculate their memory-equivalent capacity (MEC).