A Multiobjective Genetic SVM Approach for Classification Problems With Limited Training Samples.
Noureddine GhoggaliFarid MelganiYakoub BaziPublished in: IEEE Trans. Geosci. Remote. Sens. (2009)
Keyphrases
- training samples
- multi objective
- support vectors
- decision function
- hyperplane
- training set
- feature space
- decision boundary
- training data
- genetic algorithm
- test sample
- multiobjective optimization
- evolutionary algorithm
- support vector machine svm
- number of training samples
- high dimensional
- support vector
- learning algorithm
- support vector machine
- supervised learning
- data sets
- convex hull
- feature selection
- kernel matrix
- knn
- sample set
- svm classifier
- training dataset
- representative samples
- classification method
- training examples
- multi class
- feature vectors
- objective function
- kernel methods
- classification algorithm
- kernel function
- face images
- active learning
- pairwise
- small number of samples
- neural network