The Optimal Ridge Penalty for Real-world High-dimensional Data Can Be Zero or Negative due to the Implicit Ridge Regularization

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The Optimal Ridge Penalty for Real-world High-dimensional Data Can Be Zero or Negative due to the Implicit Ridge Regularization

Author: Kobak, Dmitry; Lomond, Jonathan; Sanchez, Benoit
Tübinger Autor(en):
Kobak, Dmitry
Published in: Journal of Machine Learning Research (2020), Bd. 21, Article 169
Verlagsangabe: Microtome Publ
Language: English
ISSN: 1532-4435
DDC Classifikation: 004 - Data processing and computer science
600 - Technology
Dokumentart: Artikel
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