A maximal figure-of-merit (MFoM)-learning approach to robust classifier design for text categorization.
Sheng Gao|Wen Wu|Chin-Hui Lee|Tat-Seng Chua
| Anthology ID: | DBLP:journals/tois/GaoWLC06 |
|---|---|
| Year: | 2006 |
| Venue: | ACM Transactions on Information Systems (TOIS) |
| Pages: | 190-218 |
| URL: | https://doi.org/10.1145/1148020.1148022 |
| DOI: | https://doi.org/10.1145/1148020.1148022 |
| DBLP: | journals/tois/GaoWLC06 |
| BibTeX: |
@article{gao-2006-maximal,
author = {Sheng Gao and
Wen Wu and
Chin-Hui Lee and
Tat-Seng Chua},
title = {{A maximal figure-of-merit (MFoM)-learning approach to robust classifier design for text categorization}},
journal = {ACM Transactions on Information Systems (TOIS)},
volume = {24},
number = {2},
pages = {190--218},
year = {2006},
url = {https://doi.org/10.1145/1148020.1148022},
doi = {https://doi.org/10.1145/1148020.1148022}
}