Publisher
Springer Berlin Heidelberg
Reference13 articles.
1. Cerquides, J.: Applying General Bayesian Techniques to Improve TAN Induction, Knowledge Discovery and Data Mining, 1999, pp 292–296.
2. Cheng, J., Bell, D.A., Liu, W.: An algorithm for Bayesian belief network construction from data, Proceedings of AI & STAT’97, Ft. Lauderdale, Florida, 1997.
3. Cheng, J., Bell, D.A., Liu, W.: Learning belief networks from data: an information theory based approach. Proceedings of the Sixth ACM International Conference on Information and Knowledge Management, 1997.
4. Chow, C. K., Liu, C. N.: Approximating discrete probability distributions with dependence trees, IEEE Trans. on IT, IT-14, No. 3, 1968, pp. 462–467
5. Chou, C. K., Wagner, T. J.: Consistency of an estimate of tree-dependent probability distribution, IEEE Transactions on Information Theory, IT-19, 1973, 369–371
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Very large Bayesian multinets for text classification;Future Generation Computer Systems;2005-07
2. Bayesian Nets for Recommender Systems;Intelligent Information Processing and Web Mining;2003
3. Very Large Bayesian Networks in Text Classification;Lecture Notes in Computer Science;2003