Probabilistic Classifier Chain Inference via Gibbs Sampling.
Li LiLongkai ZhangGuangyi LiHoufeng WangPublished in: CIKM (2014)
Keyphrases
- gibbs sampling
- belief networks
- gibbs sampler
- topic models
- exact inference
- markov chain
- parameter estimation
- approximate inference
- expectation maximization
- conditional probability distributions
- latent dirichlet allocation
- generative model
- markov chain monte carlo
- em algorithm
- probabilistic model
- graphical models
- bayesian networks
- support vector
- training data
- probabilistic inference
- feature selection
- feature space
- probability distribution
- conditional probabilities
- support vector machine
- maximum likelihood
- learning algorithm
- belief propagation
- latent variables
- training set
- conditional random fields
- feature extraction