Leveraging Bayesian Optimization to Speed Up Automatic Precision Tuning.
Van-Phu HaOlivier SentieysPublished in: DATE (2021)
Keyphrases
- data driven
- optimization process
- efficient optimization
- bayesian learning
- optimization problems
- optimization algorithm
- optimization method
- database
- discrete optimization
- global optimization
- monte carlo sampling
- parameter optimization
- bayesian inference
- maximum likelihood
- artificial intelligence
- fully automatic
- high precision
- precision and recall
- semi automatic
- bayesian methods
- optimization model
- decision theory
- cost function
- bayesian networks
- image segmentation
- optimization strategies
- neural network