Least-Squares Wavelet Kernel Method for Regression Estimation.
Xiangjun WenXiaoming XuYunze CaiPublished in: ICNC (1) (2005)
Keyphrases
- kernel methods
- least squares
- reproducing kernel hilbert space
- linear regression
- robust estimation
- semi parametric
- support vector
- parameter estimation
- kernel function
- machine learning
- learning problems
- support vector machine
- feature space
- model selection
- kernel matrix
- regression model
- learning tasks
- linear model
- rademacher complexity
- reproducing kernel
- denoising
- density estimation
- data dependent
- wavelet transform
- euclidean space
- wavelet coefficients
- mixture model
- optical flow
- learning algorithm
- neural network