Naive Bayes model
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Publications (4)

1Learning a Robust Word Sense Disambiguation Model using Hypernyms in Definition Sentences2004  Kiyoaki Shirai,Tsunekazu Yagiof high frequency words. The second classiﬁer is the Naive Bayes model, which will work well for the disambiguation of low...

2Bringing the Dictionary to the User: The FOKS Systemgenerated reading given a dictionary entry, based on the naive Bayes model. In response to a reading input, we calculate the p...

3An Improved Hierarchical Bayesian Model of Language for Document Classification2008  Ben AllisonEyheramendy, S., D. Lewis, and D. Madigan. 2003. The naive bayes model for text categorization. Artificial Intelligence and...

4Efficient Discrimination Between Closely Related Languages2012  Jörg Tiedemann,Nikola LjubešićAnother conclusion from our experiments is that a Naive Bayes model performs better for smaller amounts of data but highly...