Using a Bayesian Network Induction Approach for Text Categorization

Lam, Wai; Low, Kon Fan; Ho, Chao Yang

doi:10.1016/j.jaip.2022.02.040

Using a Bayesian Network Induction Approach for Text Categorization

Wai Lam, Kon Fan Low, Chao Yang Ho

IJCAI 1997 pp. 745-750

doi:10.1016/j.jaip.2022.02.040 /ijcai/1997/lam1997ijcai-using/

Abstract

An online weight loss intervention has the potential to meet U.S. Food and Drug Administration guidance for product evaluation (at least a 5% weight loss in 35% of people) for treating obesity, and is associated with a clinically significant improvement in asthma control, quality of life, and overall health-related quality of life.

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Text

Lam et al. "Using a Bayesian Network Induction Approach for Text Categorization." International Joint Conference on Artificial Intelligence, 1997. doi:10.1016/j.jaip.2022.02.040

Markdown

[Lam et al. "Using a Bayesian Network Induction Approach for Text Categorization." International Joint Conference on Artificial Intelligence, 1997.](https://mlanthology.org/ijcai/1997/lam1997ijcai-using/) doi:10.1016/j.jaip.2022.02.040

BibTeX

@inproceedings{lam1997ijcai-using,
  title     = {{Using a Bayesian Network Induction Approach for Text Categorization}},
  author    = {Lam, Wai and Low, Kon Fan and Ho, Chao Yang},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {1997},
  pages     = {745-750},
  doi       = {10.1016/j.jaip.2022.02.040},
  url       = {https://mlanthology.org/ijcai/1997/lam1997ijcai-using/}
}