Reproducible Hyperparameter Optimization
Autor: | Daniel L. Gillen, Pierre Baldi, L. Hertel |
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Rok vydání: | 2021 |
Předmět: |
Statistics and Probability
Hyperparameter Computer science business.industry Machine learning computer.software_genre Sequential analysis Hyperparameter optimization Key (cryptography) Discrete Mathematics and Combinatorics Artificial intelligence Statistics Probability and Uncertainty business computer |
Zdroj: | Journal of Computational and Graphical Statistics. 31:84-99 |
ISSN: | 1537-2715 1061-8600 |
DOI: | 10.1080/10618600.2021.1950004 |
Popis: | A key issue in machine learning research is the lack of reproducibility. We illustrate what role hyperparameter search plays in this problem and how regular hyperparameter search methods can lead t... |
Databáze: | OpenAIRE |
Externí odkaz: |
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