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This is a very similar idea to ensemble models, which have been used for a long time in ML and proven to be very good. You average out the results of several pr
by 0x008 3y ago
This is a very similar idea to ensemble models, which have been used for a long time in ML and proven to be very good. You average out the results of several predictors (or you let them vote and pick the most common prediction value), thereby reducing the noise in the prediction by choosing the common denominator of multiple predictions.
- sroussey 3y agoThis is done in aerospace as well… however, even different teams clean room writing to the same spec have the tendency to make the same errors in their code, which ends up breaking the statistical model when this model was selected.