all i know is minimizing the shannon entropy can lower the uncertainty of the model, but how can i assure the model is becoming more accurate instead of becoming less accurate after minimizing the entropy?looking forward to an answer
I think minimizing entropy = increasing accuracy makes sense ONLY when the pre-adaptation probability is well-calibrated. But I cannot find any discussion on calibration in the paper...
all i know is minimizing the shannon entropy can lower the uncertainty of the model, but how can i assure the model is becoming more accurate instead of becoming less accurate after minimizing the entropy?looking forward to an answer