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} }