Extensions to Quantile Regression Forests for Very High-Dimensional Data

Nguyen Thanh Tung, Joshua Zhexue Huang, Imran Khan, Mark Junjie Li, Graham J. Williams. Extensions to Quantile Regression Forests for Very High-Dimensional Data. In Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L. P. Chen, Hung-Yu Kao, editors, Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II. Volume 8444 of Lecture Notes in Computer Science, pages 247-258, Springer, 2014. [doi]

@inproceedings{TungHKLW14,
  title = {Extensions to Quantile Regression Forests for Very High-Dimensional Data},
  author = {Nguyen Thanh Tung and Joshua Zhexue Huang and Imran Khan and Mark Junjie Li and Graham J. Williams},
  year = {2014},
  doi = {10.1007/978-3-319-06605-9_21},
  url = {http://dx.doi.org/10.1007/978-3-319-06605-9_21},
  researchr = {https://researchr.org/publication/TungHKLW14},
  cites = {0},
  citedby = {0},
  pages = {247-258},
  booktitle = {Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II},
  editor = {Vincent S. Tseng and Tu Bao Ho and Zhi-Hua Zhou and Arbee L. P. Chen and Hung-Yu Kao},
  volume = {8444},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-06604-2},
}