A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data.
Do-kyum KimMatthew F. DerLawrence K. SaulPublished in: AISTATS (2014)
Keyphrases
- labeled and unlabeled data
- latent variable models
- semi supervised
- unlabeled data
- semi supervised learning
- labeled data
- latent variables
- learning tasks
- learning problems
- class labels
- text classification
- latent dirichlet allocation
- training data
- active learning
- supervised learning
- latent space
- hidden markov models
- decision boundary
- maximum likelihood
- model selection
- text categorization
- data sets
- data points
- learning algorithm
- training examples
- regression model
- image classification
- markov random field
- support vector machine
- gaussian mixture
- prior knowledge
- pattern recognition
- machine learning