SVM Regression Parameters Optimization Using Parallel Global Search Algorithm.
Konstantin BarkalovAlexey PolovinkinIosif B. MeyerovSergey V. SidorovNikolai Yu. ZolotykhPublished in: PaCT (2013)
Keyphrases
- search algorithm
- support vector
- number of iterations required
- fine tuning
- support vector machine svm
- support vector machines for classification
- parameter optimization
- search space
- linear regression model
- optimal parameters
- feature selection
- parameter selection
- parameter settings
- parameter values
- knn
- kernel function
- optimization problems
- optimization algorithm
- parameter estimation
- radial basis function network
- machine learning
- kernel ridge regression
- kernel parameters
- svm classification
- quadratic programming
- support vector regression
- parallel processing
- model selection
- regression model
- hyperparameters
- stochastic gradient descent
- optimization criteria
- combinatorial search
- neural network
- support vector machine
- nonlinear regression
- linear regression
- classification and regression problems
- kernel methods