Improved prediction of biomass composition for switchgrass using reproducing kernel methods with wavelet compressed FT-NIR spectra.
Jong In ParkLu LiuX. Philip YeMyong K. JeongYoungseon JeongPublished in: Expert Syst. Appl. (2012)
Keyphrases
- kernel methods
- kernel function
- support vector
- prediction accuracy
- learning problems
- feature space
- support vector machine
- machine learning
- kernel matrix
- multiple kernel learning
- kernel pca
- multiple kernel
- prediction model
- neural network
- graph kernels
- reproducing kernel hilbert space
- kernel fisher discriminant analysis
- kernel matrices
- gaussian kernel
- multiscale
- wavelet transform
- kernel learning
- image processing
- denoising
- principal component analysis
- high dimensional feature space