Variational Learning for the Inverted Beta-Liouville Mixture Model and Its Application to Text Categorization.
Yongfa LingWenbo GuanQiang RuanHeping SongYuping LaiPublished in: CoRR (2021)
Keyphrases
- text categorization
- mixture model
- em algorithm
- feature selection
- text classification
- expectation maximization
- learning process
- information gain
- learning algorithm
- learning tasks
- reinforcement learning
- semi supervised learning
- probabilistic model
- knn
- language model
- prior knowledge
- text documents
- generative model
- unsupervised learning
- multi label
- naive bayes
- model selection
- image processing
- image segmentation
- data analysis
- information extraction
- high dimensional