For regularization the parameter γ controls how much emphasis is placed on the agreement between the initial and learned labels.
we can additionally constrainl by requiring that the initial labels cannot be modified, or more generally penalizing the discrepancy betweenl(u) and l(u) for u ∈ L. The methods of (Talukdar and Pereira, 2010) optimize objective functions of this type.