Regression depth and support vector machine.
Andreas ChristmannPublished in: Data Depth: Robust Multivariate Analysis, Computational Geometry and Applications (2003)
Keyphrases
- support vector machine
- support vector regression
- support vector
- regression problems
- support vector machines for classification
- regression model
- ridge regression
- support vector machine svm
- relevance vector machine
- svm classifier
- regression method
- multi class
- machine learning
- depth map
- feature vectors
- kernel methods
- high quality
- reproducing kernel hilbert space
- neural network
- multi class support vector machines
- stock market prediction
- polynomial regression
- three dimensional
- regression analysis
- linear regression
- model selection
- feature space
- k nearest neighbor
- small sample
- radial basis function
- simple linear
- regression algorithm
- training data
- regression function
- nonlinear regression
- kernel function
- generalization ability
- knn
- classification accuracy
- locally weighted
- classification method
- svm classification
- decision boundary
- gaussian processes