Corani, Giorgio and Zaffalon, Marco (2008) JNCC2: the Java implementation of naive credal classifier 2. Journal of Machine Learning Research, 9. pp. 2695-2698. ISSN 1533-7928
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Abstract
JNCC2 implements the naive credal classifier 2 (NCC2). This is an extension of naive Bayes to imprecise probabilities that aims at delivering robust classifications also when dealing with small or incomplete data sets. Robustness is achieved by delivering set-valued classifications (that is, returning multiple classes) on the instances for which (i) the learning set is not informative enough to smooth the effect of choice of the prior density or (ii) the uncertainty arising from missing data prevents the reliable indication of a single class. JNCC2 is released under the GNU GPL license.
| Item Type: | Scientific journal article, Newspaper article or Magazine article |
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| Uncontrolled Keywords: | imprecise probabilities, missing data, naive Bayes, naive credal classifier 2, Java |
| Subjects: | Computer sciences > Artificial intelligence > Machine learning |
| Depositing User: | Giorgio Corani |
| Date Deposited: | 12 May 2014 09:36 |
| Last Modified: | 06 Jun 2016 06:57 |
| URI: | http://repository.supsi.ch/id/eprint/4730 |
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