A normal least squares support vector machine (NLS-SVM) and its learning algorithm.
Xinjun PengYifei WangPublished in: Neurocomputing (2009)
Keyphrases
- least squares support vector machine
- ls svm
- learning algorithm
- generalization ability
- support vector machine
- least squares
- machine learning algorithms
- support vector
- variable selection
- training data
- small sample
- machine learning
- support vector machine svm
- supervised learning
- active learning
- back propagation
- statistical learning theory
- learning tasks
- improved algorithm
- bp neural network
- input variables
- rbf neural network
- cross validation
- correlation coefficient
- svm classifier
- parameter estimation
- unlabeled data
- feature space
- learning problems
- maximum likelihood
- sample complexity
- learning machines
- probabilistic model
- pattern recognition