VAR and GSTAR-Based Feature Selection in Support Vector Regression for Multivariate Spatio-Temporal Forecasting.
Dedy Dwi PrastyoFeby Sandi Nabila SuhartonoMuhammad Hisyam LeeNovri SuhermiSoo-Fen FamPublished in: SCDS (2018)
Keyphrases
- support vector regression
- spatio temporal
- support vector classification
- feature selection
- regression model
- support vector
- kernel learning
- support vector machine
- forecasting model
- forecasting accuracy
- hybrid genetic
- hybrid model
- kernel function
- extreme learning machine
- response surface methodology
- model selection
- support vector machine svm
- financial time series forecasting
- load forecasting
- image sequences
- singular spectrum analysis
- text classification
- feature set
- knn
- wavelet frame
- moving objects
- feature space
- back propagation neural network
- learning algorithm
- selected features
- data preprocessing
- feature ranking
- nonlinear regression
- feature subset
- cross validation
- classification accuracy
- feature extraction
- artificial neural network models
- computer vision
- machine learning