A support vectors classifier approach to predicting the risk of progression of adolescent idiopathic scoliosis.
Peter O. AjembaLino RamirezNelson G. DurdleDoug L. HillV. James RasoPublished in: IEEE Trans. Inf. Technol. Biomed. (2005)
Keyphrases
- support vectors
- normal subjects
- svm classifier
- support vector
- support vector machine
- training data
- training samples
- decision boundary
- training examples
- training dataset
- decision functions
- decision function
- training process
- reduced set
- brain imaging
- kernel function
- svm classification
- hyperplane
- left ventricle
- supervised learning
- training set
- shape analysis
- input space
- support vector machine svm
- learning algorithm
- brain tissue
- linear svm
- brain activity
- cross validation
- classification accuracy
- feature space
- decision trees
- class labels
- image classification
- feature selection
- active learning
- feature vectors
- image processing
- ls svm
- small number