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Abstract: This paper presents a new hybrid classifier that combines the probability based Bayesian Network paradigm with the Nearest Neighbor distance based algorithm. The Bayesian Network structure is obtained from the data by using the K2 structural learning algorithm. The Nearest Neighbor algorithm is used in combination with the Bayesian Network in the deduction phase. For those data bases in which some variables are continuous valued, automatic discretizations of the data are performed. (Update)
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BibTeX entry: (Update)
Lazkano, E. and Sierra, B. (2003). Bayes-nearest: a new hybrid classifier combining bayesian network and distance based algorithms. In Proceedings of the EPIA 2003 Conference. Lecture Notes on Computer Science. http://citeseer.ist.psu.edu/lazkano03bayesnearest.html More
@misc{ lazkano03bayesnearest,
author = "E. Lazkano and B. Sierra",
title = "Bayes-nearest: a new hybrid classifier combining bayesian network and distance
based algorithms",
text = "Lazkano, E. and Sierra, B. (2003). Bayes-nearest: a new hybrid classifier
combining bayesian network and distance based algorithms. In Proceedings
of the EPIA 2003 Conference. Lecture Notes on Computer Science.",
year = "2003",
url = "citeseer.ist.psu.edu/lazkano03bayesnearest.html" }
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