Please cite both the package and the original articles / software in your publications:
Mouselimis L, Fukatani R, Titov N, Zhang T, Johnson R (2022). RGF: Regularized Greedy Forest. R package version 1.1.1, https://CRAN.R-project.org/package=RGF.
Fukatani R, Titov N, Zhang T, Johnson R (2022). rgf_python: The wrapper of machine learning algorithm Regularized Greedy Forest (RGF) for Python. https://pypi.org/project/rgf-python/.
Johnson R, Zhang T (2014). “Learning Nonlinear Functions Using Regularized Greedy Forest.” IEEE Transactions on Pattern Analysis and Machine Intelligence, 36, 942–954. doi:10.1109/TPAMI.2013.159.
Johnson R, Zhang T (2011). “Learning Nonlinear Functions Using Regularized Greedy Forest.” arXiv.org, stat.ML. arXiv:1109.0887.
Corresponding BibTeX entries:
@Manual{,
title = {{RGF}: Regularized Greedy Forest},
author = {Lampros Mouselimis and Ryosuke Fukatani and Nikita Titov
and Tong Zhang and Rie Johnson},
year = {2022},
note = {R package version 1.1.1},
url = {https://CRAN.R-project.org/package=RGF},
}
@Manual{,
title = {{rgf_python}: The wrapper of machine learning algorithm
Regularized Greedy Forest (RGF) for Python},
author = {Ryosuke Fukatani and Nikita Titov and Tong Zhang and Rie
Johnson},
year = {2022},
url = {https://pypi.org/project/rgf-python/},
}
@Article{,
title = {Learning Nonlinear Functions Using Regularized Greedy
Forest},
author = {Rie Johnson and Tong Zhang},
journal = {IEEE Transactions on Pattern Analysis and Machine
Intelligence},
year = {2014},
volume = {36},
pages = {942--954},
doi = {10.1109/TPAMI.2013.159},
}
@Article{,
title = {Learning Nonlinear Functions Using Regularized Greedy
Forest},
author = {Rie Johnson and Tong Zhang},
journal = {arXiv.org, stat.ML},
year = {2011},
note = {arXiv:1109.0887},
}