Class point approach for software effort estimation using various support vector regression kernel methods.
Shashank Mouli SatapathySantanu Kumar RathPublished in: ISEC (2014)
Keyphrases
- kernel methods
- support vector regression
- kernel function
- support vector
- kernel learning
- support vector machine
- reproducing kernel hilbert space
- kernel matrix
- hybrid model
- feature space
- learning problems
- multiple kernel
- learning tasks
- regression model
- hyperplane
- input space
- support vector classification
- kernel pca
- hilbert space
- kernel matrices
- multiple kernel learning
- high dimensional
- support vector machine svm
- kernel trick
- machine learning
- neural network
- support vectors
- cross validation
- loss function
- k nearest neighbor
- classification accuracy
- computer vision
- kernel fisher discriminant analysis
- generalization ability
- radial basis function
- regression method
- preprocessing
- multiscale
- decision trees