A self-adaptive embedded chaotic particle swarm optimization for parameters selection of Wv-SVM.
Qi WuPublished in: Expert Syst. Appl. (2011)
Keyphrases
- chaotic particle swarm optimization
- support vector
- support vector machine svm
- fine tuning
- optimal parameters
- control parameters
- kernel parameters
- support vector machine
- machine learning
- parameter selection
- watermarking algorithm
- parameter space
- svm classifier
- expectation maximization
- maximum likelihood
- multi class
- knn
- svm classification
- selection criterion
- parameter values
- maximum margin
- embedded systems
- parameter settings
- feature space
- kernel function
- parameter estimation
- high dimensional