Naive Bayes Classifiers That Perform Well with Continuous Variables-Reference-Cited by-同舟云学术

Naive Bayes Classifiers That Perform Well with Continuous Variables

Published:2004 Issue: Volume: Page:1089-1094
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Bouckaert Remco R.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-30549-1_106

Reference14 articles.

1. Blake, C.L., Merz, C.J.: UCI Repository of machine learning databases. University of California, Irvine (1998)

2. Lecture Notes in Artificial Intelligence;R.R. Bouckaert,2004

3. Bouckaert, R.R.: Naive Bayes Classifiers that Perform Well with Continuous Variables. Technicl Report, Computer Science Department, University of Waikato

4. Dietterich, T.G.: Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms. Neural Computation 10(7), 1895–1924 (1998)

5. Domingos, P., Pazzani, M.: On the optimality of the simple Bayesian classifier under zero-one loss. Machine Learning 29, 103–130 (1997)

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