Analyzing the Nonlinear Time Series of Turbulent Flows with Kernel Interval Regression Machine.
Changha HwangDug Hun HongPublished in: Int. J. Uncertain. Fuzziness Knowl. Based Syst. (2005)
Keyphrases
- mercer kernels
- kernel pca
- kernel ridge regression
- reproducing kernel hilbert space
- kernel function
- kernel regression
- support vector
- multi variate
- support vector regression
- classification and regression problems
- sparse kernel
- regression method
- regression model
- simple linear
- locally linear
- gaussian processes
- relevance vector machine
- nonlinear regression
- kernel based nonlinear
- generalized linear
- gaussian kernels
- gaussian process regression
- high dimensional feature space
- nadaraya watson
- kernel methods
- kernel principal component analysis
- kernel partial least squares
- granger causality
- generalized discriminant analysis
- autoregressive
- feature space
- neural network
- nonlinear functions
- kernel matrix
- regression analysis
- dynamic time warping
- model selection
- real valued functions
- high dimensional
- nonlinear models
- multivariate time series
- partial least squares
- multiple kernel learning
- learning machines
- linear regression
- stock market
- principal component analysis
- machine learning