Constrained sampling of 2.5D probabilistic maps for augmented inference.
Lei ShiJaime Valls MiróTeng ZhangTeresa A. Vidal-CallejaLiye SunGamini DissanayakePublished in: IROS (2016)
Keyphrases
- bayesian networks
- inference process
- markov chain monte carlo
- belief networks
- probabilistic networks
- generative model
- gibbs sampler
- probabilistic reasoning
- bayes nets
- probabilistic model
- bayesian inference
- posterior probability
- probabilistic inference
- sampling strategy
- probabilistic modeling
- probabilistic logic
- decision trees
- variable elimination
- logical inference
- bayesian reasoning
- uncertain data
- random fields
- efficient learning
- gibbs sampling
- bayesian model
- monte carlo
- neural network
- inference engine
- statistical relational learning
- factor graphs
- conditional random fields
- sample size
- objective function
- metropolis hastings
- nonparametric belief propagation