Recognizing 100 Speakers Using Homologous Naive Bayes

Author:

Huang Hung-Ju,Hsu Chun-Nan

Publisher

Springer Berlin Heidelberg

Reference9 articles.

1. Hsu, C.N., Huang, H.J., Wong, T.T.: Why discretization works for naive bayesian classifiers. In: Machine Learning: Proceedings of the 17th International Conference (ML 2000), San Francisco, CA (2000)

2. John, G., Langley, P.: Estimating continuous distributions in Bayesian classifiers. In: In Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence (UAI’ 95). (1995) 338–345

3. Fayyad, U.M., Irani, K.B.: Multi-interval discretization of continuous valued attributes for classification learning. In: Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence (IJCAI’ 93), Chambery, France (1993) 1022–1027

4. Ross, S.: A First Course in Probability. Prentice Hall (1998)

5. Blake, C., Merz, C.: UCI repository of machine learning databases (1998)

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