Semi-Supervised Least-Squares Support Vector Classifier based on Virtual Leave One Out Residuals.
Stanislaw JankowskiZbigniew SzymanskiEwa Piatkowska-JankoPublished in: PRIS (2009)
Keyphrases
- least squares
- semi supervised
- support vector
- cross validation
- ls svm
- parameter estimation
- virtual environment
- semi supervised learning
- kernel logistic regression
- kernel function
- multi view
- labeled data
- logistic regression
- robust estimation
- augmented reality
- virtual world
- unsupervised learning
- co training
- unlabeled data
- multi class classification
- optical flow
- pairwise
- svm classifier
- virtual reality
- model selection
- semi supervised classification
- loss function
- kernel methods
- kernel machines
- machine learning
- supervised learning
- feature selection
- training examples
- radial basis function
- support vector machine
- classification accuracy
- maximum margin
- neural network
- low rank
- confidence intervals
- binary classification
- multi class
- subspace learning
- active learning
- semi supervised clustering