A Bayesian Mixture Model for Term Re-occurrence and Burstiness.
Avik SarkarPaul H. GarthwaiteAnne N. De RoeckPublished in: CoNLL (2005)
Keyphrases
- mixture model
- maximum likelihood
- dirichlet prior
- probabilistic model
- gaussian mixture model
- em algorithm
- bayesian nonparametric
- generative model
- generalized em algorithm
- density estimation
- language model
- variational inference
- unsupervised learning
- model selection
- term frequency
- bayesian networks
- posterior probability
- bayesian inference
- expectation maximization
- mixture modeling
- probability density function
- gaussian processes
- exponential family
- high dimensional
- bayesian methods
- bayesian models
- dirichlet process mixture models
- bag of words
- machine learning
- parameter estimation
- probability distribution
- reinforcement learning
- image segmentation
- image processing