Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges
2023 · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · 726 citations
https://doi.org/10.1002/widm.1484
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Michel Lang
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Michel Lang is an academic researcher from TU Dortmund University. The author has contributed to research in topics: Machine Learning and Data Classification & Data Analysis with R & Advanced Multi-Objective Optimization Algorithms. The author has an h-index of 19, co-authored 113 publications.
ORCID: 0000-0001-9754-0393Papers by this author
worksSurvival models with preclustered gene groups as covariates
2011 · BMC Bioinformatics · 22 citations
https://doi.org/10.1186/1471-2105-12-478
Feature Selection Methods for Cost-Constrained Classification in Random\n Forests
2020 · arXiv (Cornell University) · 1 citations
https://doi.org/10.48550/arxiv.2008.06298
Additional file 1 of Cost-Constrained feature selection in binary classification: adaptations for greedy forward selection and genetic algorithms
2020 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.11759433
Vers une science du risque intégrée et structurée en France : La vision du GET Risques Naturels et Environnementaux de l'alliance ALLEnvi
2024 · SPIRE - Sciences Po Institutional REpository · 0 citations
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