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The synthesis of data from instrumented structures and physics-based models via Gaussian processes.

Alastair GregoryF. Din-Houn LauMark A. GirolamiLiam J. ButlerMohammed Z. E. B. Elshafie
Published in: J. Comput. Phys. (2019)
Keyphrases
  • gaussian processes
  • data sets
  • bayesian methods
  • training data
  • data points
  • missing data
  • prior knowledge
  • input data
  • high dimensional data
  • machine learning
  • machine learning algorithms
  • multitask learning