Support vector regression with noisy data: a second order cone programming approach.
Theodore B. TrafalisSamir A. AlwazziPublished in: Int. J. Gen. Syst. (2007)
Keyphrases
- noisy data
- support vector regression
- convex optimization
- support vector
- noise tolerant
- kernel function
- hybrid model
- extreme learning machine
- support vector machine svm
- regression model
- high dimensional
- hybrid genetic
- support vector classification
- missing data
- missing values
- response surface methodology
- support vector machine
- noise free
- learning from noisy data
- nonlinear regression
- high dimensionality
- wavelet frame
- interior point methods
- noise reduction
- singular spectrum analysis
- quadratic programming
- image sequences
- input data
- classification accuracy
- artificial neural networks
- training set
- training data