An empirical Bayes approach for learning directed acyclic graph using MCMC algorithm.
Vahid Rezaei TabarHamid ZareifardSelva SalimiDariusz PlewczynskiPublished in: Stat. Anal. Data Min. (2019)
Keyphrases
- learning algorithm
- directed acyclic graph
- equivalence class
- monte carlo
- reinforcement learning
- objective function
- dynamic programming
- learning process
- probabilistic model
- expectation maximization
- optimal solution
- shortest path problem
- support vector machine
- bayesian network structure
- markov chain monte carlo
- parameter estimation
- generative model
- k means
- decision trees