High-low level support vector regression prediction approach (HL-SVR) for data modeling with input parameters of unequal sample sizes.
Maolin ShiWei SunXueguan SongHongyou LiPublished in: CoRR (2019)
Keyphrases
- support vector regression
- data modeling
- input parameters
- sample size
- database design
- data model
- regression model
- model selection
- object oriented
- support vector
- forecasting accuracy
- database management
- prediction model
- upper bound
- random sampling
- relational model
- database technology
- data management
- support vector machine svm
- kernel function
- hybrid model
- data warehousing
- high level
- support vector classification
- support vector machine
- response surface methodology
- extreme learning machine
- electronic equipment
- immune algorithm
- singular spectrum analysis
- database
- sql server
- worst case
- databases
- incomplete information
- database applications
- image features
- relational databases
- feature space