... recording the set of hypothesesthat maximizeskpkMk(h). For 0.6 < p1≤ 1 weget h = (0.9, 0.1), for p1= 0.6 we get (0.7, 0.6),and for 0 < p1< 0.6 we get (0.4, 0.8). At nosetting ... exponentiated-combinationkpkMk(h)q, for a suitable q > 0, does satisfy necessaryconditions for pareto optimality. However the proper tuning of qis not known a priori. See (Miettinen, 1998) for theorem proofs.3Algorithm ... h∗= shift(L)4: for each h in L do5: if (M(h∗) M(h)): remove h from L6: else if (M(h) M(h∗)): remove h from L; seth∗= h7: end for 8: Add h∗to Frontier Set F9: for each h in L...