Parameter Optimization of Polynomial Kernel SVM from miniCV.
Li-Chia YehChung-Chin LuPublished in: LOD (2019)
Keyphrases
- polynomial kernels
- parameter optimization
- support vector machine
- support vector
- kernel function
- support vector machine svm
- svm classifier
- gaussian kernels
- feature selection
- genetic algorithm
- genetic algorithm ga
- hyperparameters
- feature vectors
- feature space
- parameter settings
- differential evolution
- training set
- parameter estimation
- machine learning
- kernel methods
- hyperplane
- multiple kernel learning
- support vectors
- support vector regression
- evolutionary algorithm
- k nearest neighbor
- knn
- linearly separable
- pid controller
- linear combination
- training data
- gaussian kernel