JNCC2: The java implementation of naive credal classifier 2

Journal of Machine Learning Research

Volumn 9, Issue , 2008, Pages 2695-2698

  Corani, Giorgio ^a   Zaffalon, Marco ^a  

^a DALLE MOLLE INSTITUTE FOR ARTIFICIAL INTELLIGENCE IDSIA   (Switzerland)

Author keywords

Imprecise probabilities; Java; Missing data; Naive bayes; Naive credal classifier 2

Indexed keywords

CLASSIFIERS; COMPUTER PROGRAMMING LANGUAGES; PROBABILITY; RANDOM PROCESSES;

IMPRECISE PROBABILITIES; JAVA; MISSING DATA; NAIVE BAYES; NAIVE CREDAL CLASSIFIER 2;

LEARNING SYSTEMS;

EID: 58149287953     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Article

References (5)

1. G. Corani and M. Zaffalon. Learning reliable classifiers from small or incomplete data sets: the naive credal classifier 2. Journal of Machine Learning Research, 9:581-621, 2008.
2. U. M. Fayyad and K. B. Irani. Multi-interval discretization of continuous-valued attributes for classification learning. In Proceedings of the 13th International Joint Conference on Artificial Intelligence, pages 1022-1027, San Francisco, CA, 1993. Morgan Kaufmann.
3. R. J. A. Little and D. B. Rubin. Statistical Analysis with Missing Data. Wiley, New York, 1987.
4. P. Walley. Statistical Reasoning With Imprecise Probabilities. Chapman and Hall, New York, 1991.
5. I. H. Witten and E. Frank. Data Mining: Practical Machine Learning Tools and Techniques (2nd Edition). Morgan Kaufmann, 2005.