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Naive(Bayes)at forty: The independence assumption in information retrieval

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (1998) 1398 4-15
DOI: 10.1007/bfb0026666
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Abstract

The naive Bayes classifier, currently experiencing a renaissance in machine learning,has long been a core technique in information retrieval. We review some of the variations of naive Bayes models used for text retrieval and classification, focusing on the distributional assumptious made about word occurrences in documents.

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APA

Lewis, D. D. (1998). Naive(Bayes)at forty: The independence assumption in information retrieval. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1398, pp. 4–15). Springer Verlag. https://doi.org/10.1007/bfb0026666

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