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Karlson Pfannschmidt

2 bytes removed, 11:16, 16 September 2020
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a German computer scientist specialized in [[Learning|machine learning]], affiliated with the [[Paderborn University]].
He designed and published tools for local and distributed [[Automated Tuning|tuning]] of chess engines using state-of-the-art [https://en.wikipedia.org/wiki/Bayesian_optimization Bayesian optimization] <ref>[https://github.com/kiudee/chess-tuning-tools GitHub - kiudee/chess-tuning-tools: A collection of scripts aimed at efficiently tuning chess engine parameters]</ref>.
His Bayesian implementation of a sequential model-based optimization, dubbed '''Bayes-skopt''' <ref>[https://github.com/kiudee/bayes-skopt GitHub - kiudee/bayes-skopt: A fully Bayesian implementation of sequential model-based optimization]</ref> was successfully applied to tune meta parameters of [[Leela Chess Zero]] and its derivations relatives <ref>[https://en.chessbase.com/post/fat-fritz-update-and-fat-fritz-jr Fat Fritz 1.1 update and a small gift] by [[Albert Silver]], [[ChessBase|ChessBase News]], March 05, 2020</ref>.
=Selcted Publications=

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