Support Vector Machine with Composite Kernels for Time Series Prediction.
Tiejun JiangShuzong WangRuxiang WeiPublished in: ISNN (3) (2007)
Keyphrases
- support vector machine
- kernel function
- kernel methods
- svm classification
- multiple kernel
- support vector
- ls svm
- polynomial kernels
- gaussian kernel
- support vector machines for classification
- feature space
- neuro fuzzy
- string kernels
- multi class
- rbf kernel
- svm classifier
- multiple kernel learning
- non stationary
- feature vectors
- neural network model
- function approximation
- support vector machine svm
- feature selection
- hyperplane
- machine learning
- generalization ability
- training data
- artificial neural networks
- recurrent neural networks
- wavelet kernel
- k nearest neighbor
- linear combination
- kernel learning
- support vector regression
- neural network
- decision boundary
- radial basis function
- svm training
- moving average
- kernel machines
- support vectors
- autoregressive
- classification method
- gaussian kernels
- multi class support vector machines
- stock market prediction
- lp norm
- prediction model
- histogram intersection kernel
- similarity measure
- training set
- least squares
- kernel matrix