Rethinking LDA: Why Priors Matter.
Hanna M. WallachDavid M. MimnoAndrew McCallumPublished in: NIPS (2009)
Keyphrases
- linear discriminant analysis
- latent dirichlet allocation
- topic models
- discriminant analysis
- face recognition
- generative model
- topic modeling
- hierarchical bayesian model
- feature extraction
- bayesian framework
- topic discovery
- linear discriminate analysis
- principal component analysis
- dimensionality reduction
- discriminating power
- latent topics
- dimension reduction
- small sample size
- latent variable models
- prior knowledge
- prior information
- technology enhanced learning
- learned from training data
- data mining
- null space
- feature space
- graph cuts
- latent dirichlet
- support vector
- probabilistic topic models
- lda model
- semi supervised
- knowledge discovery
- prior model
- parametric models