Iterated Block Particle Filter for High-dimensional Parameter Learning: Beating the Curse of Dimensionality.
Ning NingEdward L. IonidesPublished in: CoRR (2021)
Keyphrases
- particle filter
- parameter learning
- high dimensional
- bayesian networks
- structure learning
- statistical learning
- conditional random fields
- generative model
- maximum likelihood
- particle filtering
- visual tracking
- low dimensional
- em algorithm
- state space
- mean shift
- approximate inference
- markov random field
- parameter estimation
- high dimensional data
- dimensionality reduction
- graphical models
- hidden variables
- bayesian inference
- parameter space
- feature space
- expectation maximization
- data points
- conditional independence
- machine learning
- manifold learning
- posterior probability
- reinforcement learning
- dynamic programming