Harnessing Low-Fidelity Data to Accelerate Bayesian Optimization via Posterior Regularization.
Bin LiuPublished in: BigComp (2020)
Keyphrases
- data sets
- data analysis
- data collection
- database
- data points
- data processing
- raw data
- image data
- probability distribution
- data sources
- high quality
- data structure
- bayesian networks
- data mining techniques
- spatial data
- bayesian methods
- prior knowledge
- posterior distribution
- original data
- global optimization
- genetic algorithm
- data distribution
- experimental data
- image reconstruction
- synthetic data
- high dimensional data
- optimization algorithm
- bit rate
- statistical analysis
- feature selection
- decision trees
- knowledge discovery