JGPR: A Computationally Efficient Multi-Target Gaussian Process Regression Algorithm

Cite

Text

Nabati et al. "JGPR: A Computationally Efficient Multi-Target Gaussian Process Regression Algorithm." Machine Learning, 2022. doi:10.1007/S10994-022-06170-3

Markdown

[Nabati et al. "JGPR: A Computationally Efficient Multi-Target Gaussian Process Regression Algorithm." Machine Learning, 2022.](https://mlanthology.org/mlj/2022/nabati2022mlj-jgpr/) doi:10.1007/S10994-022-06170-3

BibTeX

@article{nabati2022mlj-jgpr,
  title     = {{JGPR: A Computationally Efficient Multi-Target Gaussian Process Regression Algorithm}},
  author    = {Nabati, Mohammad and Ghorashi, Seyed Ali and Shahbazian, Reza},
  journal   = {Machine Learning},
  year      = {2022},
  pages     = {1987-2010},
  doi       = {10.1007/S10994-022-06170-3},
  volume    = {111},
  url       = {https://mlanthology.org/mlj/2022/nabati2022mlj-jgpr/}
}