Classification of schizophrenia using Genetic Algorithm-Support Vector Machine (GA-SVM).
Ming-Hsien HieshAndy Yan-Yu LamChia-Ping ShenWei ChenFeng-Shen LinHsiao-Ya SungJeng-Wei LinMing-Jang ChiuFeipei LaiPublished in: EMBC (2013)
Keyphrases
- support vector machine
- genetic algorithm
- support vector machine svm
- svm classifier
- support vector
- binary decision tree
- svm classification
- genetic algorithm ga
- classification method
- feature vectors
- high classification accuracy
- multi class
- classification algorithm
- generalization ability
- feature selection
- machine learning
- support vector machine classifiers
- decision boundary
- k nearest neighbor
- multi objective
- image classification
- training data
- fitness function
- training set
- feature space
- multi class svm
- support vectors
- hybrid algorithm
- kernel function
- evolutionary algorithm
- neural network
- classification accuracy
- sequential minimal optimization
- small sample
- standard svm
- multi class classification
- maximum margin
- soft margin
- fold cross validation
- hyperplane
- metaheuristic
- simulated annealing
- knn
- artificial neural networks
- pattern recognition
- feature extraction
- immune genetic algorithm
- parallel genetic algorithm
- hybrid ga
- partially supervised
- histogram intersection kernel
- messy genetic algorithm
- structured output
- optimal parameters
- ls svm
- kernel methods
- optimization method
- decision function
- multiclass classification
- genetic operators
- crossover operator
- support vector regression
- radial basis function
- genetic programming
- text classification
- decision trees