For each ⊥i column, if Δ⊥i is in the top 0.66% of those seen before then we perform negative reinforcement.
Do we negatively reinforce False columns that are especially distant from the True column? That seems backward.
‘those seen before’ are.values of Δ⊥i across all samples seen before, not within a sample.
Do we negatively reinforce False columns that are especially distant from the True column? That seems backward.
‘those seen before’ are.values of Δ⊥i across all samples seen before, not within a sample.