Unsupervised Supervised Learning II: Training Margin Based Classifiers without Labels
Pinar DonmezKrishnakumar BalasubramanianGuy LebanonPublished in: CoRR (2010)
Keyphrases
- supervised learning
- training examples
- training set
- training data
- class labels
- unlabeled data
- supervised classification
- supervised training
- generalization error
- training samples
- unsupervised learning
- labeled training data
- semi supervised learning
- semi supervised
- labeled data
- active learning
- unlabeled examples
- partially labeled data
- weakly labeled data
- test set
- labeled examples
- machine learning
- learning algorithm
- learning tasks
- pairwise constraints
- supervised learning tasks
- training phase
- learning problems
- decision boundary
- co training
- unlabeled samples
- learning machines
- decision trees
- training process
- unseen data
- classification algorithm
- supervised and unsupervised learning
- instance selection
- binary classifiers
- pairwise
- multi class
- multiple instance learning
- linear classifiers
- naive bayes
- classification accuracy
- data sets
- trained classifiers
- feature selection
- cross validation
- classifier training
- binary classification
- multi label classification
- multi label
- support vector machine
- feature selection algorithms
- reinforcement learning
- training and test sets
- svm classifier