Bayesian Folding-In with Dirichlet Kernels for PLSI.
Alexander HinneburgHans-Henning GabrielAndré GohrPublished in: ICDM (2007)
Keyphrases
- fisher kernel
- boundary conditions
- dirichlet prior
- generative model
- bayesian estimation
- gaussian processes
- kernel function
- prior distribution
- maximum likelihood
- bag of words
- posterior probability
- latent dirichlet allocation
- feature vectors
- bayesian networks
- language model
- discrete data
- support vector
- kernel methods
- linear combination
- mixture model
- tf idf
- em algorithm
- bayesian learning
- data driven
- graph kernels
- protein folding
- dirichlet distribution