: Vocabulaire du TAL: naive Bayesian algorithm

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naive Bayesian algorithm

A probabilistic machine learning technique that is applied to classification jobs and is based on Bayes' theory. (Alahmar et al., Naive Bayes Algorithms, 2023)

For the experimental results reported in this paper we used the implementation of Naive-Bayes algorithm in the PEBLS program (Rachlin and Salzberg 1993) which has an option for training and testing using the Naive-Bayes algorithm. (Ng, 1997)
His results indicate that the simple Naive-Bayes algorithm gives the highest accuracy on the "line" corpus tested. (Ng, 1997)
The naive Bayes algorithm estimates the conditional probability of a set of features given a label using the product of the probabilities of the individual features given that label. (Rodríguez Penagos, 2004)
We found that the SVMs and the feedforward neural networks gave the best results on the development set while the KNN and Naive Bayes algorithms did not perform well. (Donker, Overbeek, Thulden & Zwagers, 2024)
We used the Naive Bayes algorithm to build such an orientation classifier. (Kazemiy, Toral, Way & Monadjemiy, 2015)

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