@inproceedings{dasari:hal-02331291,
  TITLE = {{Random Forest Surrogate Models to Support Design Space Exploration in Aerospace Use-Case}},
  AUTHOR = {Dasari, Siva Krishna and Cheddad, Abbas and Andersson, Petter},
  URL = {https://inria.hal.science/hal-02331291},
  NOTE = {Part 10: Machine Learning - Natural Language},
  BOOKTITLE = {{15th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI)}},
  ADDRESS = {Hersonissos, Greece},
  EDITOR = {John MacIntyre and Ilias Maglogiannis and Lazaros Iliadis and Elias Pimenidis},
  PUBLISHER = {{Springer International Publishing}},
  SERIES = {Artificial Intelligence Applications and Innovations},
  VOLUME = {AICT-559},
  PAGES = {532-544},
  YEAR = {2019},
  MONTH = May,
  DOI = {10.1007/978-3-030-19823-7\_45},
  KEYWORDS = {Machine learning ; Random Forests ; Hyperparameter tuning ; Surrogate model ; Meta-models ; Engineering design ; Aerospace},
  PDF = {https://inria.hal.science/hal-02331291/file/483292_1_En_45_Chapter.pdf},
  HAL_ID = {hal-02331291},
  HAL_VERSION = {v1},
}