Discriminative model selection for Gaussian mixture models for classification.
Xiao-Hua LiuCheng-Lin LiuPublished in: ACPR (2011)
Keyphrases
- model selection
- mixture model
- gaussian mixture model
- cross validation
- unsupervised learning
- hyperparameters
- density estimation
- bayesian information criterion
- bayesian learning
- feature selection
- machine learning
- generalization error
- sample size
- selection criterion
- speaker recognition
- parameter estimation
- bayesian methods
- probability density function
- variational bayes
- gaussian process
- semi supervised
- image processing
- variable selection
- feature extraction
- marginal likelihood
- information criterion
- maximum likelihood
- likelihood function
- maximum likelihood criterion
- gaussian distribution
- expectation maximization
- text classification
- classification accuracy
- high dimensional
- posterior distribution
- supervised learning
- support vector machine
- feature space
- support vector
- decision trees
- information retrieval