A Unified Posterior Regularized Topic Model with Maximum Margin for Learning-to-Rank.
Shoaib JameelWai LamSteven SchockaertLidong BingPublished in: CIKM (2015)
Keyphrases
- hidden variables
- topic models
- maximum margin
- markov networks
- probabilistic model
- latent variables
- posterior distribution
- generative model
- loss function
- topic modeling
- gaussian process
- latent dirichlet allocation
- posterior probability
- information retrieval
- bayesian inference
- document retrieval
- graphical models
- text documents
- support vector
- language model
- bayesian framework
- expectation maximization
- bayesian networks
- learning algorithm
- conditional random fields
- hyperplane
- co occurrence
- support vector machine
- probability distribution
- multi task
- text mining
- pattern classification
- maximum likelihood
- information extraction
- knowledge discovery
- multiple kernel learning