A Novel Method for Tuning Configuration Parameters of Spark Based on Machine Learning.
Guolu WangJungang XuBen HePublished in: HPCC/SmartCity/DSS (2016)
Keyphrases
- machine learning
- fine tuning
- machine learning methods
- synthetic data
- experimental evaluation
- decision trees
- detection method
- parameter tuning
- sensitivity analysis
- parameter estimation
- segmentation algorithm
- high accuracy
- pairwise
- parameter space
- high precision
- segmentation method
- support vector machine svm
- denoising
- support vector machine
- computational cost
- significant improvement
- control system
- prior knowledge
- preprocessing
- image registration
- information extraction
- probabilistic model
- pattern recognition
- video sequences
- reinforcement learning
- dynamic programming
- bayesian networks
- control parameters
- similarity measure