Complexity Analysis and Variational Inference for Interpretation-based Probabilistic Description Logic.
Fábio Gagliardi CozmanRodrigo Bellizia PolastroPublished in: UAI (2009)
Keyphrases
- description logics
- complexity analysis
- variational inference
- probabilistic model
- bayesian inference
- theoretical analysis
- factor graphs
- topic models
- first order logic
- probabilistic graphical models
- generative model
- knowledge base
- knowledge representation
- latent dirichlet allocation
- description logic programs
- mixture model
- snomed ct
- graphical models
- gaussian process
- variational methods
- lower bound
- posterior distribution
- computational complexity
- bayesian networks
- dl lite
- closed form
- latent variables
- posterior probability
- belief propagation
- artificial intelligence
- markov networks
- cost model
- information retrieval
- conditional random fields
- data streams