The easiest way to treat sequential data would be simply to ignore the sequential aspects and treat the observations as independent and identically distributed (i.i.d.)[Bishop 2006] as shown in Figure 1. However, this approach would fail to exploit sequential patterns.
Hidden Markov Models
