Spatial Concept-Based Navigation with Human Speech Instructions via Probabilistic Inference on Bayesian Generative Model.
Akira TaniguchiYoshinobu HagiwaraTadahiro TaniguchiTetsunari InamuraPublished in: CoRR (2020)
Keyphrases
- generative model
- probabilistic inference
- bayesian networks
- probabilistic model
- posterior probability
- graphical models
- conditional probabilities
- approximate inference
- em algorithm
- bayesian framework
- belief networks
- message passing
- markov chain monte carlo
- weighted model counting
- latent dirichlet allocation
- maximum entropy principle
- bayesian inference
- spatial information
- prior knowledge
- dirichlet process mixture models
- topic models
- expectation maximization
- maximum likelihood
- semi supervised
- conditional random fields
- exact inference
- belief propagation
- hidden variables
- probabilistic graphical models
- posterior distribution
- feature selection
- machine learning
- supervised learning
- variational inference
- text mining
- data sets