Semi-supervised and active learning with the probabilistic RBF classifier.
Constantinos ConstantinopoulosAristidis LikasPublished in: Neurocomputing (2008)
Keyphrases
- semi supervised
- active learning
- unlabeled examples
- generative model
- co training
- unlabeled samples
- labeled data
- labeled samples
- unlabeled data
- semi supervised learning
- labeled and unlabeled data
- training examples
- training set
- learning algorithm
- labeled examples
- partially labeled data
- support vector
- supervised learning
- svm classifier
- support vector machine
- label noise
- fully labeled
- mlp neural networks
- unsupervised learning
- unlabeled instances
- pairwise
- training data
- fully supervised
- radial basis function
- batch mode
- labeled instances
- multi view
- selective sampling
- random sampling
- bayesian networks
- pool based active learning
- query by committee
- pairwise constraints
- semi supervised classification
- machine learning
- multiple instance learning
- artificial neural networks
- probabilistic model
- class labels
- semi supervised clustering
- neural network
- active learner
- labeling effort
- rbf network
- incremental learning
- support vector machine svm
- feature set
- feature selection
- transfer learning
- metric learning
- rbf neural network
- learning process
- class imbalance