Laplacian Regularized Least Squares Regression and its Dynamic Parameter Optimization for Near Infrared Spectroscopy Modeling.
Hui-Hua YangFeng QinYong WangQiong-lin LiangYi-Ming WangGuo-An LuoPublished in: ICNC (1) (2007)
Keyphrases
- parameter optimization
- regularized least squares
- genetic algorithm ga
- reproducing kernel hilbert space
- genetic algorithm
- regression model
- differential evolution
- support vector
- pairwise
- edge detection
- model selection
- parameter estimation
- sparse representation
- support vector regression
- hyperparameters
- regularization term