AI-ordlista
Den kompletta ordlistan över AI
162
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underkategorier
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Softmax Calibration
Process of adjusting probabilities generated by the softmax function to accurately reflect the true occurrence probabilities of predictions.
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Post-hoc Calibration
Calibration approach applied after complete model training, without modifying its weights or architecture, using only the output logits.
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Sharpness vs Calibration Trade-off
Fundamental dilemma where improving calibration may reduce the sharpness (confidence) of predictions, and vice versa, requiring optimal balance.
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Bayesian Calibration
Probabilistic calibration approach incorporating parameter uncertainty and using Bayesian methods to estimate calibrated posterior distributions.
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Ensemble Calibration
Technique improving calibration by aggregating predictions from multiple models, naturally reducing overconfidence and improving uncertainty estimation.
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