Online accelerator optimization with a machine learning-based stochastic algorithm.
Zhe ZhangMinghao SongXiaobiao HuangPublished in: Mach. Learn. Sci. Technol. (2021)
Keyphrases
- machine learning
- experimental evaluation
- optimization algorithm
- learning algorithm
- detection algorithm
- parallel implementation
- dynamic programming
- k means
- np hard
- linear programming
- optimization process
- combinatorial optimization
- times faster
- worst case
- optimal solution
- computational complexity
- matching algorithm
- passive aggressive
- stochastic gradient
- preprocessing
- optimization method
- search space
- segmentation algorithm
- neural network
- computational cost
- lower bound
- machine learning algorithms
- information extraction
- expectation maximization
- input data
- feature selection
- evolution strategy