Supervised learning of multivariate skew normal mixture models with missing information.
Tzy-Chy LinTsung-I LinPublished in: Comput. Stat. (2010)
Keyphrases
- missing information
- mixture model
- supervised learning
- unsupervised learning
- finite mixture models
- finite mixtures
- incomplete information
- missing data
- em algorithm
- density estimation
- missing values
- gaussian mixture model
- model selection
- expectation maximization
- probabilistic model
- generative model
- semi supervised
- semi supervised learning
- active learning
- language model
- mixture modeling
- maximum likelihood
- positive and negative
- depth information
- machine learning
- training set
- training data
- labeled data
- probability density function
- gaussian mixture
- autonomous agents
- class labels
- model based clustering
- minimum message length
- object recognition
- feature extraction
- high quality
- learning algorithm