Burkhardt and Kramer. "Online Sparse Collapsed Hybrid Variational-Gibbs Algorithm for Hierarchical Dirichlet Process Topic Models." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2017. doi:10.1007/978-3-319-71246-8_12
Markdown
[Burkhardt and Kramer. "Online Sparse Collapsed Hybrid Variational-Gibbs Algorithm for Hierarchical Dirichlet Process Topic Models." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2017.](https://mlanthology.org/ecmlpkdd/2017/burkhardt2017ecmlpkdd-online/) doi:10.1007/978-3-319-71246-8_12
BibTeX
@inproceedings{burkhardt2017ecmlpkdd-online,
title = {{Online Sparse Collapsed Hybrid Variational-Gibbs Algorithm for Hierarchical Dirichlet Process Topic Models}},
author = {Burkhardt, Sophie and Kramer, Stefan},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
year = {2017},
pages = {189-204},
doi = {10.1007/978-3-319-71246-8_12},
url = {https://mlanthology.org/ecmlpkdd/2017/burkhardt2017ecmlpkdd-online/}
}