Mixed-membership naive Bayes models

@article{Shan2010MixedmembershipNB,
  title={Mixed-membership naive Bayes models},
  author={Hanhuai Shan and Arindam Banerjee},
  journal={Data Mining and Knowledge Discovery},
  year={2010},
  volume={23},
  pages={1-62}
}
In recent years, mixture models have found widespread usage in discovering latent cluster structure from data. A popular special case of finite mixture models is the family of naive Bayes (NB) models, where the probability of a feature vector factorizes over the features for any given component of the mixture. Despite their popularity, naive Bayes models do not allow data points to belong to different component clusters with varying degrees, i.e., mixed memberships, which puts a restriction on… CONTINUE READING
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