Comparison of Two Different Kernel Functions of Support Vector Regression for Tracking Tumor Motion: Radial Basis Function and Linear Function.
Jie ZhangXue BaiGuoping ShanPublished in: ICBRA (2019)
Keyphrases
- kernel function
- support vector regression
- radial basis function
- support vector
- rbf kernel
- support vector machine
- rbf network
- nonlinear functions
- sequential minimal optimization
- rbf neural network
- support vector machine svm
- reproducing kernel hilbert space
- kernel methods
- input space
- multilayer perceptron
- kernel learning
- feature space
- svm classifier
- positive definite
- basis functions
- neural network
- support vectors
- loss function
- hidden layer
- image sequences
- artificial neural networks
- linear model
- feature set
- kernel matrix
- generalization ability
- optical flow
- quadratic programming
- machine learning
- hyperparameters
- computer vision
- multiple kernel learning
- activation function
- multiscale
- regression model
- feature vectors
- classification accuracy