CMP.7:4.6 - Apply the result and revise the part that fails

Use the learned output on the intended further case. A discrepancy can come from the rule family, data law, target definition, optimization, representation or application. Follow the dependency that failed rather than reflexively requesting more training examples or more optimization steps.

If the target changes over time, choose a forgetting, reweighting, windowing or adaptation procedure together with the relation to the new target. C.11.DUA helps decide whether a discrepancy warrants more examples or a changed procedure; the common portfolio methods can retain several useful rules. This pattern constructs the learning operation used in that arrangement.

Return the learned rule, its application method, the conditions material to its use and the narrow reason for reopening it.