Issei Sato, Hiroshi Nakagawa. Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior. In Pavel Berkhin, Rich Caruana, Xindong Wu, editors, Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Jose, California, USA, August 12-15, 2007. pages 590-598, ACM, 2007. [doi]
@inproceedings{SatoN07,
title = {Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior},
author = {Issei Sato and Hiroshi Nakagawa},
year = {2007},
doi = {10.1145/1281192.1281256},
url = {http://doi.acm.org/10.1145/1281192.1281256},
tags = {discovery},
researchr = {https://researchr.org/publication/SatoN07},
cites = {0},
citedby = {0},
pages = {590-598},
booktitle = {Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Jose, California, USA, August 12-15, 2007},
editor = {Pavel Berkhin and Rich Caruana and Xindong Wu},
publisher = {ACM},
isbn = {978-1-59593-609-7},
}