Communications of the ACM
Learnability and the Vapnik-Chervonenkis dimension
Journal of the ACM (JACM)
COLT '91 Proceedings of the fourth annual workshop on Computational learning theory
On the exponential value of labeled samples
Pattern Recognition Letters
The complexity of learning from a mixture of labeled and unlabeled examples
The complexity of learning from a mixture of labeled and unlabeled examples
DECISION THEORETIC GENERALIZATIONS OF THE PAC MODEL FORNEURAL NET AND OTHER LEARNING APPLICATIONS
DECISION THEORETIC GENERALIZATIONS OF THE PAC MODEL FORNEURAL NET AND OTHER LEARNING APPLICATIONS
Combining labeled and unlabeled data with co-training
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Metric-Based Methods for Adaptive Model Selection and Regularization
Machine Learning
Semi-supervised learning for facial expression recognition
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Semi-supervised learning with an imperfect supervisor
Knowledge and Information Systems
ICML '05 Proceedings of the 22nd international conference on Machine learning
A semi-supervised approach to projected clustering with applications to microarray data
International Journal of Data Mining and Bioinformatics
Semi-supervised clustering with limited background knowledge
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Humans perform semi-supervised classification too
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
A discriminative model for semi-supervised learning
Journal of the ACM (JACM)
Multi-view learning for high dimensional data classification
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Semisupervised multicategory classification with imperfect model
IEEE Transactions on Neural Networks
Semi-supervised learning applied to large data sets with very few labeled examples
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1
Unsupervised Supervised Learning II: Margin-Based Classification Without Labels
The Journal of Machine Learning Research
Generalization error bounds using unlabeled data
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Semi-Supervised Policy Recommendation for Online Social Networks
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
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