Recurrent sparse support vector regression machines trained by active learning in the time-domain.
Vladimir CepericGeorges G. E. GielenAdrijan BaricPublished in: Expert Syst. Appl. (2012)
Keyphrases
- support vector regression
- active learning
- training set
- regression model
- kernel function
- support vector
- extreme learning machine
- support vector machine svm
- support vector machine
- frequency domain
- semi supervised
- learning algorithm
- support vector classification
- hybrid model
- recurrent neural networks
- wavelet frame
- wavelet neural network
- response surface methodology
- nonlinear regression
- multilayer perceptron
- sparse data
- data mining
- kernel learning
- high dimensional
- training data
- sequential minimal optimization
- hybrid genetic
- machine learning
- electronic equipment
- data sets
- k nearest neighbor