On fast supervised learning for normal mixture models with missing information.
Tsung-I LinJack C. LeeHsiu J. HoPublished in: Pattern Recognit. (2006)
Keyphrases
- mixture model
- missing information
- supervised learning
- unsupervised learning
- incomplete information
- gaussian mixture model
- missing values
- density estimation
- missing data
- em algorithm
- expectation maximization
- generative model
- model selection
- probabilistic model
- training data
- active learning
- semi supervised
- machine learning
- semi supervised learning
- reinforcement learning
- training set
- depth information
- language model
- maximum likelihood
- mixture modeling
- positive and negative
- gaussian mixture
- automatic model selection
- probability density function
- learning algorithm
- first order logic
- class labels
- unlabeled data
- knn
- pattern recognition
- image processing