Bayesian estimation and classification with incomplete data using mixture models.
Jufen ZhangRichard M. EversonPublished in: ICMLA (2004)
Keyphrases
- mixture model
- incomplete data
- bayesian estimation
- em algorithm
- density estimation
- hidden variables
- expectation maximization
- gaussian mixture model
- unsupervised learning
- model selection
- incomplete data sets
- hyperparameters
- maximum likelihood
- missing values
- posterior distribution
- generative model
- feature vectors
- probabilistic model
- machine learning
- decision trees
- supervised learning
- feature extraction
- class labels
- missing data
- bayesian networks
- cross validation
- pattern recognition
- training set
- feature selection
- text classification
- similarity measure
- parameter estimation
- support vector
- data sets