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Failure-Biased Weighted MSE

Up-weighting near-failure samples so the regressor pays attention where errors hurt the most.

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What you'll unlock:

  • 1. Why Equal-Weight MSE Underweights Failure
  • 2. The Linear-Decay Sample Weight w(RUL)
  • 3. Choosing w_max = 2.0 (Not 5.0 or 10.0)
  • 4. PyTorch Implementation
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