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. A maximal figure-of-merit (MFoM)-learning approach to robust classifier design for text categorization. ACM Trans. Inf. Syst., 24(2):190-218, 2006. [doi]

@article{GaoWLC06,
  title = {A maximal figure-of-merit (MFoM)-learning approach to robust classifier design for text categorization},
  author = {Sheng Gao and Wen Wu and Chin-Hui Lee and Tat-Seng Chua},
  year = {2006},
  doi = {10.1145/1148022},
  url = {http://doi.acm.org/10.1145/1148022},
  tags = {design, systematic-approach},
  researchr = {https://researchr.org/publication/GaoWLC06},
  cites = {0},
  citedby = {0},
  journal = {ACM Trans. Inf. Syst.},
  volume = {24},
  number = {2},
  pages = {190-218},
}