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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
The text was updated successfully, but these errors were encountered:
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
The text was updated successfully, but these errors were encountered: