Distributed Adaptive Importance Sampling on graphical models using MapReduce.
Ahsanul HaqueSwarup ChandraLatifur KhanCharu C. AggarwalPublished in: IEEE BigData (2014)
Keyphrases
- graphical models
- importance sampling
- approximate inference
- belief propagation
- probabilistic inference
- probabilistic model
- monte carlo
- random variables
- bayesian networks
- conditional random fields
- markov chain monte carlo
- distributed systems
- belief networks
- gaussian process
- kalman filter
- message passing
- markov chain
- parameter estimation
- particle filter
- latent variables
- least squares
- object tracking
- dynamic programming