method
active
method:sigmoid-fitting

sigmoid fitting

Fitting accuracy-vs-shot curves with logistic functions to extract k50 and width.

Neighborhood — ranked by edge-count

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

  • Fitting a logistic function to success probability as a function of S or shot count to estimate midpoints and widths.
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    Input from environment that the agent models and predicts.
  • Fit a sigmoid to accuracy vs. k to estimate k50 and phase width.
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    Single-layer neural network that computes weighted sum of inputs; can only represent linearly separable functions