COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Information-based objective functions for active data selection
Neural Computation
Improving Generalization with Active Learning
Machine Learning - Special issue on structured connectionist systems
Discovering informative patterns and data cleaning
Advances in knowledge discovery and data mining
Journal of the ACM (JACM)
Selective Sampling Using the Query by Committee Algorithm
Machine Learning
Further results on the margin distribution
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Machine Learning
The Nonstochastic Multiarmed Bandit Problem
SIAM Journal on Computing
Machine Learning
Machine Learning
Toward Optimal Active Learning through Sampling Estimation of Error Reduction
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Less is More: Active Learning with Support Vector Machines
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Query Learning with Large Margin Classifiers
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Employing EM and Pool-Based Active Learning for Text Classification
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
The Journal of Machine Learning Research
Support vector machine active learning with applications to text classification
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Selective Sampling for Nearest Neighbor Classifiers
Machine Learning
Active learning with statistical models
Journal of Artificial Intelligence Research
On the generalization of soft margin algorithms
IEEE Transactions on Information Theory
Stochastic scheduling of active support vector learning algorithms
Proceedings of the 2005 ACM symposium on Applied computing
Balancing Exploration and Exploitation: A New Algorithm for Active Machine Learning
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Confidence-Based Active Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Active Coevolutionary Learning of Deterministic Finite Automata
The Journal of Machine Learning Research
Entropy-Driven online active learning for interactive calendar management
Proceedings of the 12th international conference on Intelligent user interfaces
Action-selection and crossover strategies for self-modeling machines
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Exploiting multiple robots to accelerate self-modeling
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Partial example acquisition in cost-sensitive learning
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
A stopping criterion for active learning
Computer Speech and Language
Repairing self-confident active-transductive learners using systematic exploration
Pattern Recognition Letters
Active learning with direct query construction
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Get another label? improving data quality and data mining using multiple, noisy labelers
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
ECML '07 Proceedings of the 18th European conference on Machine Learning
Multiple-Instance Active Learning for Image Categorization
MMM '09 Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling
Active learning for object classification: from exploration to exploitation
Data Mining and Knowledge Discovery
Data preparation for sample-based face detection
International Journal of Computer Applications in Technology
Active learning for directed exploration of complex systems
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
A machine learning approach to sentiment analysis in multilingual Web texts
Information Retrieval
Explicit learning curves for transduction and application to clustering and compression algorithms
Journal of Artificial Intelligence Research
Optimistic active learning using mutual information
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Accelerating self-modeling in cooperative robot teams
IEEE Transactions on Evolutionary Computation
Confidence-based stopping criteria for active learning for data annotation
ACM Transactions on Speech and Language Processing (TSLP)
Evolutionary Model Type Selection for Global Surrogate Modeling
The Journal of Machine Learning Research
Active learning for biomedical citation screening
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Active learning with sampling by uncertainty and density for data annotations
IEEE Transactions on Audio, Speech, and Language Processing
Asking generalized queries to ambiguous oracle
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Stream-based active unusual event detection
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
Inactive learning?: difficulties employing active learning in practice
ACM SIGKDD Explorations Newsletter
Active learning with adaptive regularization
Pattern Recognition
Finding rare classes: adapting generative and discriminative models in active learning
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II
Asking generalized queries with minimum cost
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II
Optimal batch selection for active learning in multi-label classification
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Uncertainty-based active learning with instability estimation for text classification
ACM Transactions on Speech and Language Processing (TSLP)
Supervised learning with minimal effort
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Using the experimental method to produce reliable self-organised systems
Engineering Self-Organising Systems
EGAL: exploration guided active learning for TCBR
ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development
The Journal of Machine Learning Research
Active learning via perfect selective classification
The Journal of Machine Learning Research
Constructing test collections by inferring document relevance via extracted relevant information
Proceedings of the 21st ACM international conference on Information and knowledge management
A theory of transfer learning with applications to active learning
Machine Learning
Reverse active learning for optimising information extraction training production
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
Batch-Mode Active Learning with Semi-supervised Cluster Tree for Text Classification
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Learning exploration strategies in model-based reinforcement learning
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Adaptive online scheduling in storm
Proceedings of the 7th ACM international conference on Distributed event-based systems
Feedback-driven multiclass active learning for data streams
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Repeated labeling using multiple noisy labelers
Data Mining and Knowledge Discovery
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This work is concerned with the question of how to combine online an ensemble of active learners so as to expedite the learning progress in pool-based active learning. We develop an active-learning master algorithm, based on a known competitive algorithm for the multi-armed bandit problem. A major challenge in successfully choosing top performing active learners online is to reliably estimate their progress during the learning session. To this end we propose a simple maximum entropy criterion that provides effective estimates in realistic settings. We study the performance of the proposed master algorithm using an ensemble containing two of the best known active-learning algorithms as well as a new algorithm. The resulting active-learning master algorithm is empirically shown to consistently perform almost as well as and sometimes outperform the best algorithm in the ensemble on a range of classification problems.