A robust least squares support vector machine for regression and classification with noise.
Xiaowei YangLiangjun TanLifang HePublished in: Neurocomputing (2014)
Keyphrases
- least squares support vector machine
- ls svm
- support vector
- feature extraction
- model selection
- cross validation
- regression model
- pattern recognition
- feature selection
- image classification
- support vector machine svm
- generalization ability
- feature space
- feature vectors
- support vector machine
- machine learning
- decision trees
- missing data
- face recognition
- noise reduction
- incremental learning
- statistical learning theory