Estimating the class prior and posterior from noisy positives and unlabeled data.
Shantanu JainMartha WhitePredrag RadivojacPublished in: CoRR (2016)
Keyphrases
- unlabeled data
- labeled data
- semi supervised learning
- semi supervised
- class labels
- class distribution
- active learning
- positive examples
- co training
- semi supervised classification
- prior knowledge
- supervised learning
- label information
- training data
- text classification
- training set
- domain adaptation
- training examples
- labeled and unlabeled data
- labeled training data
- labeled examples
- learning algorithm
- data points
- supervised learning algorithms
- gaussian process
- multi label
- number of labeled examples
- small set of labeled
- text categorization
- unsupervised learning
- label propagation
- high dimensional
- information retrieval
- supervised and semi supervised
- bayesian framework
- multi view