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How to avoid flat/noisy parts of similarity curves (measurements) #7

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hanslovsky opened this issue Apr 1, 2016 · 0 comments
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@hanslovsky
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Shift opinions generated from noisy and/or flat parts of the similarity curve tend to distort the estimate. How to pick only "good" measurements?

  • limit range
  • weight shift opinions by gradient
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