Searching for "Generalized Naive Bayes Classifiers." – sorted by Relevance.
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Probabilistic networks and fuzzy clustering as generalizations of naive bayes classifiers
- Probabilistic Networks and Fuzzy Clustering as Generalizations of Naive Bayes Classifiers
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Augmenting Naive Bayes Classifiers with Statistical Language Models
- of the standard naive Bayes text classifier. The result is a generalized naive Bayes *Most research was conducted
- Cited by 22 (0 self) – Add To MetaCart
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Building Classifiers using Bayesian Networks
- representations of probability distributions that generalize the naive Bayes classifier and explicitly represent
- Cited by 70 (2 self) – Add To MetaCart
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A Comparative Study of Discretization Methods for Naive-Bayes Classifiers
- -interval discretization (WPKID). It is found that in general naive-Bayes classifiers trained on data preprocessed by LD
- Cited by 7 (0 self) – Add To MetaCart
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Text Classification Beyond the Bag-of-Words Representation
- in fact constitute a generalization of the popular Naive Bayes algorithm, and that the number of allowed
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8.1. Conclusions CHAPTER 8 CONCLUSIONS AND OUTLOOK
- and general mathematical description. Whereas previous researchers had generalized the Naive Bayes classifier
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M.: Comparison of machine learning methods for intelligent tutoring systems
- striking. Bayesian multinets [3] generalize the naive Bayes classifier further. In Bayesian multinets we
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Bayesian Mixed-Effects Models for Recommender Systems
- the user-level covariates. The framework is, however, quite general. The naive Bayes classifier could
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Context-aware sensors
- of the sensor. Although the Naive Bayes assumption is not true in general, “Naive" Bayes classifiers have been
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