TRANS-AM: Discovery Method of Optimal Input Vectors Corresponding to Objective Variables

Hiroaki Tanaka, Yu Suzuki, Koichiro Yoshino, Satoshi Nakamura 0001. TRANS-AM: Discovery Method of Optimal Input Vectors Corresponding to Objective Variables. In Carlos Ordonez 0001, Ladjel Bellatreche, editors, Big Data Analytics and Knowledge Discovery - 20th International Conference, DaWaK 2018, Regensburg, Germany, September 3-6, 2018, Proceedings. Volume 11031 of Lecture Notes in Computer Science, pages 216-228, Springer, 2018. [doi]

@inproceedings{TanakaSY018,
  title = {TRANS-AM: Discovery Method of Optimal Input Vectors Corresponding to Objective Variables},
  author = {Hiroaki Tanaka and Yu Suzuki and Koichiro Yoshino and Satoshi Nakamura 0001},
  year = {2018},
  doi = {10.1007/978-3-319-98539-8_17},
  url = {https://doi.org/10.1007/978-3-319-98539-8_17},
  researchr = {https://researchr.org/publication/TanakaSY018},
  cites = {0},
  citedby = {0},
  pages = {216-228},
  booktitle = {Big Data Analytics and Knowledge Discovery - 20th International Conference, DaWaK 2018, Regensburg, Germany, September 3-6, 2018, Proceedings},
  editor = {Carlos Ordonez 0001 and Ladjel Bellatreche},
  volume = {11031},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-98539-8},
}