Stochastic Learning Approach for Binary Optimization: Application to Bayesian Optimal Design of Experiments.
Ahmed AttiaSven LeyfferTodd S. MunsonPublished in: SIAM J. Sci. Comput. (2022)
Keyphrases
- optimal design
- learning algorithm
- prior knowledge
- learning systems
- reinforcement learning
- optimization algorithm
- bayesian learning
- active learning
- knowledge acquisition
- bayesian methods
- learning scenarios
- global optimization
- learning problems
- monte carlo
- background knowledge
- unsupervised learning
- neural network
- maximum likelihood
- supervised learning
- hidden markov models
- training set
- bayesian networks
- machine learning