SVR-FFS: A novel forward feature selection approach for high-frequency time series forecasting using support vector regression.
José Manuel ValenteSebastián MaldonadoPublished in: Expert Syst. Appl. (2020)
Keyphrases
- high frequency
- feature selection
- low frequency
- support vector regression
- support vector machine
- support vector classification
- support vector
- visual quality
- high resolution
- wavelet transform
- artificial neural networks
- wavelet coefficients
- feature space
- high frequencies
- discrete wavelet transform
- feature extraction
- subband
- multi resolution analysis
- low pass
- frequency band
- feature set
- feature subset
- regression model
- support vector machine svm
- wavelet decomposition
- machine learning
- filter bank
- high frequency components
- multiscale
- wavelet domain
- remote sensing
- classification accuracy
- multiresolution