Bias reduction in kernel binary regression.
Martin L. HazeltonPublished in: Comput. Stat. Data Anal. (2007)
Keyphrases
- kernel ridge regression
- reproducing kernel hilbert space
- sparse kernel
- classification and regression problems
- kernel regression
- gaussian processes
- support vector
- regression model
- kernel methods
- gaussian process regression
- principal component regression
- kernel function
- regression method
- partial least squares
- regression analysis
- kernel matrix
- neural network
- model selection
- relevance vector machine
- regression problems
- machine learning
- convolution kernel
- support vector machine
- dot product
- locally weighted
- non binary
- ridge regression
- input space
- regression methods
- support vector regression
- feature space
- training data
- kernel pca
- mercer kernels