Tune weights w1,w3,w5 via historical simulations or Bayesian optimization.
The system ingests an image. The Harness first routes the data through $f_1$. If the input is simple (e.g., a white background with a single object), or if there is massive domain noise, the Harness evaluates if deep processing is necessary. l2hforadaptivity ef f1 f3 f5
(Low-to-High) receiver. For months, the station had been buffeted by "interference"—ghost signals that the standard filters couldn’t read. "Check the Tune weights w1,w3,w5 via historical simulations or Bayesian