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CLOP

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CLOP for Noisy Black-Box Parameter Optimization, a program used for parameter tuning, created by Rémi Coulom. The CLOP principle, which stands for Confident Local OPtimization 1, is an approach to local regression that overcomes problems with very noisy outputs and nonnegative Hessians 2 in a simple and efficient way. CLOP is suited to tune several parameters simultaneously, and requires polynomial time for each additional parameter to verify the tuned values, that is playing a lot of games 3.

Contents
  1. See also
  2. Publications
  3. Forum Posts
    1. 2011 ...
    2. 2015 ...
    3. 2020 ...
  4. External Links
  5. References

See also

Publications

Forum Posts

2011 ...

2012

2013

2014

2015 ...

2020 ...

Watch on YouTube

References

Up one Level


  1. CLOP: Confident Local Optimization for Noisy Black-Box Parameter Tuning↩︎

  2. Second partial derivative test from Wikipedia↩︎

  3. Re: How Do You Automatically Tune Your Evaluation Tables by Jon Dart, CCC, January 31, 2014↩︎

  4. The Inventions - Les Paul↩︎

Categories: Les Paul

What links here

Contributors: GerdIsenberg.