Pre-Silicon Yield Estimation using Machine Learning Regression.
Elena-Diana SandruEmilian DavidGeorg PelzPublished in: ICECS (2019)
Keyphrases
- machine learning
- model selection
- learning algorithm
- semi parametric
- regression model
- estimation problems
- classification and regression problems
- ordinary least squares
- high density
- regression analysis
- computational intelligence
- high speed
- pattern recognition
- machine learning algorithms
- machine learning methods
- robust regression
- regression algorithm
- nonparametric regression
- mercer kernels
- regression problems
- explanation based learning
- reinforcement learning
- information extraction
- linear regression
- low cost
- parameter estimation
- statistical methods
- artificial intelligence
- accurate estimation
- inductive logic programming
- support vector regression
- simple linear
- partial least squares
- survival analysis
- genetic programming
- natural language processing
- estimation algorithm
- gaussian processes