A Classifier Design Based on Combining Multiple Components by Maximum Entropy Principle.
Akinori Fujino|Naonori Ueda|Kazumi Saito
| Anthology ID: | DBLP:conf/airs/FujinoUS05 |
|---|---|
| Volume: | Information Retrieval Technology, Second Asia Information Retrieval Symposium, AIRS 2005, Jeju Island, Korea, October 13-15, 2005, Proceedings |
| Year: | 2005 |
| Venue: | Asia Information Retrieval Symposium (AIRS) |
| Publisher: | Springer |
| Pages: | 423-438 |
| URL: | https://doi.org/10.1007/11562382_33 |
| DOI: | https://doi.org/10.1007/11562382_33 |
| DBLP: | conf/airs/FujinoUS05 |
| BibTeX: |
@inproceedings{fujino-2005-classifier,
author = {Akinori Fujino and
Naonori Ueda and
Kazumi Saito},
editor = {Gary Geunbae Lee and
Akio Yamada and
Helen M. Meng and
Sung-Hyon Myaeng},
title = {{A Classifier Design Based on Combining Multiple Components by Maximum Entropy Principle}},
booktitle = {{Information Retrieval Technology, Second Asia Information Retrieval Symposium, AIRS 2005, Jeju Island, Korea, October 13-15, 2005, Proceedings}},
series = {Lecture Notes in Computer Science},
volume = {3689},
pages = {423--438},
publisher = {Springer},
year = {2005},
url = {https://doi.org/10.1007/11562382_33},
doi = {https://doi.org/10.1007/11562382_33}
}