Evaluating probabilities under high-dimensional latent variable models.
Iain MurrayRuslan SalakhutdinovPublished in: NIPS (2008)
Keyphrases
- latent variable models
- high dimensional
- latent variables
- latent space
- graphical structure
- text data
- hidden markov models
- latent dirichlet allocation
- low dimensional
- nearest neighbor
- high dimensionality
- hidden variables
- real valued
- feature space
- similarity search
- high dimensional data
- probabilistic model
- parameter space
- dimensionality reduction
- data points
- probability distribution
- high dimensional spaces
- learning problems
- data sets
- dimension reduction
- manifold learning
- belief networks
- information retrieval