Fig. 5
From: Higher-order factorization machine for accurate surrogate modeling in material design
Active learning with 2nd-order and 3rd-order FMs. (a) The statistical analysis of the identified smallest FOMs as a function of optimization cycles for (red) the 2nd-order and (blue) 3rd-order FMs. Solid lines represent the average values with different initial training sets, and shaded regions indicate the minimum–maximum. (b, c) FOM of the identified binary vector as a function of optimization cycles for (b) the 2nd-order FM and (c) the 3rd-order FM.
