Classification using Hierarchical Naïve Bayes models
Classification using Hierarchical Naïve Bayes models
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Publisher
Dordrecht: Springer
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Language
English
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Publisher
Dordrecht: Springer
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Contents
Classification problems have a long history in the machine learning literature. One of the simplest, and yet most consistently well-performing set of classifiers is the Naïve Bayes models. However, an inherent problem with these classifiers is the assumption that all attributes used to describe an instance are conditionally independent given the cl...
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Full title
Classification using Hierarchical Naïve Bayes models
Authors, Artists and Contributors
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TN_cdi_proquest_miscellaneous_28960332
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_28960332
Other Identifiers
ISSN
0885-6125
E-ISSN
1573-0565
DOI
10.1007/s10994-006-6136-2
