A New Knowledge Gradient-based Method for Constrained Bayesian Optimization.
Wenjie ChenShengcai LiuKe TangPublished in: CoRR (2021)
Keyphrases
- optimization method
- prior knowledge
- dynamic programming
- domain knowledge
- detection method
- monte carlo sampling
- objective function
- decision trees
- cost function
- experimental evaluation
- edge detection
- high accuracy
- synthetic data
- optimization process
- optimization procedure
- genetic algorithm
- support vector machine svm
- pairwise
- knowledge base
- knowledge discovery
- support vector machine
- knowledge representation
- knowledge management
- classification accuracy
- probabilistic model
- preprocessing
- segmentation method
- classification method
- bayesian networks
- convergence rate
- similarity measure
- optimization model
- machine learning