Sentence examples for maximum difference approach from inspiring English sources

In both datasets, the maximum difference approach performed best, regardless of the number of initial experiments.

Furthermore, the performance of the maximum difference approach was nearly constant regardless of the size of the learning task.

Still the maximum difference approach was superior to the maximum entropy scheme in all but a single scenario where 17 functions were predicted.

On the methodological side, the maximum difference approach is limited to considering the differences between pairs of models, calling for a generalized approach that considers multiple models.

Unique to our maximum difference approach is the ability to account for all (possibly exponential number of) Boolean models displaying high fit to the available data.

Again, only when 200 models where available for the estimation of the entropy criterion the performance of the method was comparable with that of the maximum difference approach.

In addition, the relative difference (RD) varied from −50% to 72.2% and the maximum difference between our approach and the expert's concept was around 7 units in the priority scale of 10 units.

The proposed approach, named Maximum Difference (MD) policy, is computable in a distributed manner, and is practically feasible (computationally efficient and CAN-implementable).

With 200 models available for the evaluation of the entropy, the performance of this approach was comparable with the maximum difference scheme.

Results showed that, dynamic efficiency approach predicted considerable differences in the turbine efficiencies of various working fluids at different operating conditions with the maximum difference of 7.3% predicted between the turbine efficiencies of n-pentane and R245fa.

On the EGFR dataset, maximum difference performed best with a significant advantage over the maximum entropy approach (P < 5.6 × 10 − 118 ; 1.75 average difference between third quartiles).