Learning Bayesian Network Parameters from Small Data Set: A Spatially Maximum a Posteriori Method.
Zhi-gao GuoXiao-Guang GaoRuo-hai DiYu YangPublished in: AMBN@JSAI-isAI (2015)
Keyphrases
- maximum a posteriori
- parameter learning
- bayesian networks
- bayesian framework
- maximum likelihood
- prior knowledge
- energy function
- em algorithm
- bayesian methods
- hyperparameters
- pairwise
- parameter space
- markov random field
- probabilistic model
- parameter estimation
- cost function
- generalized gaussian
- map estimation
- expectation maximization
- prior distribution
- structural learning
- likelihood function
- cross validation
- bayesian inference
- prior information
- markov chain
- computational complexity
- reinforcement learning