Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDHyperparameter Tuning for Machine and Deep Learning with R, 2023
- Eva Bartz, Thomas Bartz-Beielstein
, Martin Zaefferer, Olaf Mersmann:
Hyperparameter Tuning for Machine and Deep Learning with R - A Practical Guide. Springer 2023, ISBN 978-981-19-5169-5 - Eva Bartz:
Introduction. 1-4
Theory
- Thomas Bartz-Beielstein, Martin Zaefferer, Olaf Mersmann:
Tuning: Methodology. 7-26 - Thomas Bartz-Beielstein, Martin Zaefferer:
Models. 27-69 - Thomas Bartz-Beielstein, Martin Zaefferer:
Hyperparameter Tuning Approaches. 71-119 - Thomas Bartz-Beielstein, Olaf Mersmann, Sowmya Chandrasekaran:
Ranking and Result Aggregation. 121-161
Applications
- Thomas Bartz-Beielstein:
Hyperparameter Tuning and Optimization Applications. 165-175 - Florian Dumpert, Elena Schmidt:
Hyperparameter Tuning in German Official Statistics. 177-185 - Thomas Bartz-Beielstein, Sowmya Chandrasekaran, Frederik Rehbach, Martin Zaefferer:
Case Study I: Tuning Random Forest (Ranger). 187-220 - Thomas Bartz-Beielstein, Sowmya Chandrasekaran, Frederik Rehbach:
Case Study II: Tuning of Gradient Boosting (xgboost). 221-234 - Thomas Bartz-Beielstein, Sowmya Chandrasekaran, Frederik Rehbach:
Case Study III: Tuning of Deep Neural Networks. 235-269 - Martin Zaefferer, Sowmya Chandrasekaran:
Case Study IV: Tuned Reinforcement Learning (in Python). 271-281 - Martin Zaefferer, Olaf Mersmann, Thomas Bartz-Beielstein:
Global Study: Influence of Tuning. 283-301
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-05-16 23:06 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
