The naive Bayes and maximum entropy text classifiers are well-known techniques for text classification [1, 2]. Both techniques work with text documents ...
The naive Bayes and maximum entropy text classifiers are well-known techniques for text classification [1, 2]. Both techniques work with text documents ...
It is shown how to map the solution given by maximum entropy into an optimal solution for naive Bayes according to the conditional maximum likeli- hood ...
In this paper, however, we show that both approaches are simply two different ways of doing parameter estimation for a common log-linear model of class ...
on”). Juan A., Vilar D. and Ney H. (2007). Bridging the Gap between Naive Bayes and Maximum Entropy Text Classification.
Department of Computer Science. Bridging the gap between naive bayes and maximum entropy text classification. Juan, Alfons; Vilar Torres, David; Ney, Hermann.
Updated, 30 Oct 2010 ; Type, Conference ; Year, 2007 ; Where, PRIS ; Authors, Alfons Juan, David Vilar, Hermann Ney ...
Sep 5, 2016 · In this paper, Naïve Bayes [1] and Maximum Entropy classifiers [2] are considered for combination for the pur- pose of text classification.
Missing: Bridging Gap
Oct 22, 2024 · In this paper, an auxiliary feature method is proposed. It determines features by an existing feature selection method, and selects an auxiliary feature which ...
This paper improves the naïve bayesian classification algorithm , combining with the rough set theory we can get a naive bayesian classifier algorithm based ...