Classification with Incomplete Data Using Dirichlet Process Priors.
Chunping WangXuejun LiaoLawrence CarinDavid B. DunsonPublished in: J. Mach. Learn. Res. (2010)
Keyphrases
- incomplete data
- dirichlet process
- variational bayesian
- gaussian processes
- mixture model
- missing data
- multi task learning
- bayesian model
- bayesian framework
- sampling algorithm
- feature vectors
- support vector machine
- em algorithm
- hyperparameters
- pattern recognition
- text classification
- posterior distribution
- missing values
- decision trees
- bayesian networks
- machine learning
- prior knowledge
- expectation maximization
- dimensionality reduction
- training set
- latent topics
- machine learning algorithms
- support vector
- generative model
- variational inference
- feature extraction
- feature space