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Data-driven kernel representations for sampling with an unknown block dependence structure under correlation constraints.

Guillaume PerrinChristian SoizeN. Ouhbi
Published in: Comput. Stat. Data Anal. (2018)
Keyphrases
  • data driven
  • dependence structure
  • feature space
  • sample size
  • marginal distributions
  • active learning
  • data points
  • linear combination
  • correlation coefficient