Sparse ε-tube support vector regression by active learning.
Vladimir CepericGeorges G. E. GielenAdrijan BaricPublished in: Soft Comput. (2014)
Keyphrases
- support vector regression
- active learning
- regression model
- support vector classification
- support vector machine svm
- support vector
- kernel function
- response surface methodology
- high dimensional
- sparse data
- support vector machine
- hybrid model
- extreme learning machine
- semi supervised
- machine learning
- learning algorithm
- wavelet frame
- hybrid genetic
- nonlinear regression
- data sets
- back propagation neural network
- wavelet neural network
- random sampling
- elastic net
- learning process
- kernel learning
- sequential minimal optimization
- real valued
- training set
- electronic equipment
- feature vectors