Auflistung nach Schlagwort "hyperparameter optimization"

Auflistung nach Schlagwort "hyperparameter optimization"

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  • Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning 
    Feurer, Matthias; Eggensperger, Katharina; Falkner, Stefan; Lindauer, Marius; Hutter, Frank (Brookline, MA : Microtome Publishing, 2022)
    Automated Machine Learning (AutoML) supports practitioners and researchers with the tedious task of designing machine learning pipelines and has recently achieved substantial success. In this paper, we introduce new AutoML ...
  • Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges 
    Bischl, Bernd; Binder, Martin; Lang, Michel; Pielok, Tobias; Richter, Jakob; Coors, Stefan; Thomas, Janek; Ullmann, Theresa; Becker, Marc; Boulesteix, Anne‐Laure; Deng, Difan; Lindauer, Marius (Hoboken, NJ : Wiley, 2023)
    Most machine learning algorithms are configured by a set of hyperparameters whose values must be carefully chosen and which often considerably impact performance. To avoid a time-consuming and irreproducible manual process ...