Learning Bayesian network parameters via minimax algorithm.
Xiao-Guang GaoZhi-gao GuoHao RenYu YangDa-Qing ChenChu-Chao HePublished in: Int. J. Approx. Reason. (2019)
Keyphrases
- learning algorithm
- bayesian networks
- expectation maximization
- dynamic programming
- markov blanket
- cost function
- learning phase
- parameter estimation
- online learning
- detection algorithm
- em algorithm
- machine learning
- input data
- worst case
- k means
- search space
- optimal solution
- reinforcement learning
- np hard
- preprocessing
- similarity measure
- optimization algorithm
- monte carlo
- incremental learning
- alpha beta
- parameter learning
- bayesian network structure
- learning bayesian networks
- bayesian network classifiers
- structure learning
- conditional independence
- objective function
- search algorithm
- active learning