Improving Generalization with Active Learning
Machine Learning - Special issue on structured connectionist systems
Selective Sampling Using the Query by Committee Algorithm
Machine Learning
Learning in Neural Networks: Theoretical Foundations
Learning in Neural Networks: Theoretical Foundations
Support vector machine active learning with applications to text classification
The Journal of Machine Learning Research
Agnostically Learning Halfspaces
FOCS '05 Proceedings of the 46th Annual IEEE Symposium on Foundations of Computer Science
ICML '06 Proceedings of the 23rd international conference on Machine learning
A PAC-Style model for learning from labeled and unlabeled data
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Analysis of perceptron-based active learning
COLT'05 Proceedings of the 18th annual conference on Learning Theory
On the sample complexity of PAC learning half-spaces against the uniform distribution
IEEE Transactions on Neural Networks
Hierarchical sampling for active learning
Proceedings of the 25th international conference on Machine learning
On multi-view active learning and the combination with semi-supervised learning
Proceedings of the 25th international conference on Machine learning
Journal of Computer and System Sciences
Robust bounds for classification via selective sampling
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
A discriminative model for semi-supervised learning
Journal of the ACM (JACM)
Complexity bounds for batch active learning in classification
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
Theoretical Computer Science
Theoretical Computer Science
Dual active feature and sample selection for graph classification
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Sample-based software defect prediction with active and semi-supervised learning
Automated Software Engineering
Active sampling for entity matching
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Activized learning: transforming passive to active with improved label complexity
The Journal of Machine Learning Research
A theory of transfer learning with applications to active learning
Machine Learning
Cost-sensitive online active learning with application to malicious URL detection
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Active Sampling for Entity Matching with Guarantees
ACM Transactions on Knowledge Discovery from Data (TKDD) - Special Issue on ACM SIGKDD 2012
Selective sampling and active learning from single and multiple teachers
The Journal of Machine Learning Research
Early active learning via robust representation and structured sparsity
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Efficient active learning of halfspaces: an aggressive approach
The Journal of Machine Learning Research
| Hi-index | 0.00 |
We present a framework for margin based active learning of linear separators. We instantiate it for a few important cases, some of which have been previously considered in the literature.We analyze the effectiveness of our framework both in the realizable case and in a specific noisy setting related to the Tsybakov small noise condition.