Software repository
Paper review
Download paper
Software archive
Review
Editor: @yochannah (all papers)
Reviewers: @ja-thomas (all reviews), @schalkdaniel (all reviews)
Authors
Andrew T. Jones, Jessica J. Bagnall, Hien D. Nguyen (0000-0002-9958-432X)
Citation
Jones et al., (2019). BoltzMM: an R package for maximum pseudolikelihood estimation of fully-visible Boltzmann machines. Journal of Open Source Software, 4(34), 1193, https://doi.org/10.21105/joss.01193
@article{Jones2019,
doi = {10.21105/joss.01193},
url = {https://doi.org/10.21105/joss.01193},
year = {2019},
publisher = {The Open Journal},
volume = {4},
number = {34},
pages = {1193},
author = {Andrew T. Jones and Jessica J. Bagnall and Hien D. Nguyen},
title = {BoltzMM: an R package for maximum pseudolikelihood estimation of fully-visible Boltzmann machines},
journal = {Journal of Open Source Software}
}
Tags
artificial neural network graphical model maximum pseudolikelihood estimation multivariate binary data probability mass function
Altmetrics
Markdown badge
License
Authors of JOSS papers retain copyright.
This work is licensed under a Creative Commons Attribution 4.0 International License.
