Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm.
Yasunori AkagiNaoki MarumoHideaki KimTakeshi KurashimaHiroyuki TodaPublished in: CoRR (2021)
Keyphrases
- graphical models
- approximate inference
- loopy belief propagation
- factor graphs
- probabilistic model
- belief propagation
- graph structure
- probabilistic graphical models
- exact inference
- parameter estimation
- probabilistic inference
- dynamic programming
- bayesian networks
- variational methods
- em algorithm
- k means
- dynamic bayesian networks
- structure learning
- markov chain monte carlo
- conditional independence
- undirected graph
- exponential family
- gaussian process
- conditional random fields