Smoothness and sparsity tuning for Semi-Supervised SVM.
Gilles GassoKarina Zapien ArreolaStéphane CanuPublished in: NATO ASI Mining Massive Data Sets for Security (2007)
Keyphrases
- loss function
- support vector
- semi supervised
- pairwise
- svm classifier
- support vector machine svm
- semi supervised learning
- semi supervised support vector machines
- support vector machine
- fully labeled
- support vectors
- unlabeled data
- multi class
- labeled data
- kernel function
- knn
- semi supervised classification
- sparse representation
- cost function
- co training
- unsupervised learning
- feature selection
- hyperplane
- kernel machines
- supervised learning
- radial basis function
- multi view
- active learning
- generalization ability
- labeled and unlabeled data
- semi supervised clustering
- kernel methods
- machine learning
- training data
- svm classification
- kernel parameters
- high dimensional
- prior information
- ls svm
- classification method
- objective function
- training set
- k nearest neighbor
- low rank
- decision boundary
- labeled examples
- multiple kernel learning
- classification algorithm
- similarity measure
- data sets
- neural network