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Efficient hyperparameter tuning for kernel ridge regression with Bayesian optimization.

Annika StukePatrick RinkeMilica Todorovic
Published in: Mach. Learn. Sci. Technol. (2021)
Keyphrases
  • gaussian processes
  • kernel ridge regression
  • model selection
  • feature selection
  • support vector
  • pairwise
  • least squares
  • dimensionality reduction
  • gradient boosting