COLT '90 Proceedings of the third annual workshop on Computational learning theory
Learning probabilistic prediction functions
COLT '88 Proceedings of the first annual workshop on Computational learning theory
STOC '93 Proceedings of the twenty-fifth annual ACM symposium on Theory of computing
Learning probabilistic automata with variable memory length
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
The weighted majority algorithm
Information and Computation
Additive versus exponentiated gradient updates for linear prediction
STOC '95 Proceedings of the twenty-seventh annual ACM symposium on Theory of computing
A game of prediction with expert advice
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Predicting nearly as well as the best pruning of a decision tree
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Context-sensitive learning methods for text categorization
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Information Theory and Reliable Communication
Information Theory and Reliable Communication
Tight worst-case loss bounds for predicting with expert advice
EuroCOLT '95 Proceedings of the Second European Conference on Computational Learning Theory
The context-tree weighting method: basic properties
IEEE Transactions on Information Theory
Derandomizing stochastic prediction strategies
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Improved boosting algorithms using confidence-rated predictions
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Boosting and Rocchio applied to text filtering
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Machine Learning - Special issue on context sensitivity and concept drift
Context-sensitive learning methods for text categorization
ACM Transactions on Information Systems (TOIS)
Boosting as entropy projection
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Learning specialist decision lists
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Derandomizing Stochastic Prediction Strategies
Machine Learning - Special issue: computational learning theory, COLT '97
Improved Boosting Algorithms Using Confidence-rated Predictions
Machine Learning - The Eleventh Annual Conference on computational Learning Theory
On the red-blue set cover problem
SODA '00 Proceedings of the eleventh annual ACM-SIAM symposium on Discrete algorithms
BoosTexter: A Boosting-based Systemfor Text Categorization
Machine Learning - Special issue on information retrieval
Automatic recording agent for digital video server
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Predicting nearly as well as the best pruning of a decision tree through dynamic programming scheme
Theoretical Computer Science
ACM Transactions on Asian Language Information Processing (TALIP)
PAC-Bayesian Stochastic Model Selection
Machine Learning
Predicting nearly as well as the best pruning of a planar decision graph
Theoretical Computer Science
Potential-Based Algorithms in On-Line Prediction and Game Theory
Machine Learning
EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
Predicting Nearly as well as the best Pruning of a Planar Decision Graph
ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory
On Agnostic Learning with {0, *, 1}-Valued and Real-Valued Hypotheses
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
Potential-Based Algorithms in Online Prediction and Game Theory
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
Trees, Windows, and Tiles for Wavelet Image Compression
DCC '00 Proceedings of the Conference on Data Compression
Efficient algorithms for online decision problems
Journal of Computer and System Sciences - Special issue: Learning theory 2003
ICML '06 Proceedings of the 23rd international conference on Machine learning
An argumentation based approach for practical reasoning
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
An experts approach to strategy selection in multiagent meeting scheduling
Autonomous Agents and Multi-Agent Systems
Real-time ranking with concept drift using expert advice
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Knows what it knows: a framework for self-aware learning
Proceedings of the 25th international conference on Machine learning
Temperature management in multiprocessor SoCs using online learning
Proceedings of the 45th annual Design Automation Conference
Error-driven generalist+experts (edge): a multi-stage ensemble framework for text categorization
Proceedings of the 17th ACM conference on Information and knowledge management
Efficient learning algorithms for changing environments
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Ensembles of Abstaining Classifiers Based on Rule Sets
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Coordination and multi-tasking using EMT
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 1
Solving the "Who's Mark Johnson" puzzle: information extraction based cross document coreference
SRWS '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Student Research Workshop and Doctoral Consortium
Profile based cross-document coreference using kernelized fuzzy relational clustering
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Regret Minimization and Job Scheduling
SOFSEM '10 Proceedings of the 36th Conference on Current Trends in Theory and Practice of Computer Science
The Journal of Machine Learning Research
Prediction with expert evaluators' advice
ALT'09 Proceedings of the 20th international conference on Algorithmic learning theory
λ-Perceptron: An adaptive classifier for data streams
Pattern Recognition
Internet-scale visualization and detection of performance events
USENIXATC'11 Proceedings of the 2011 USENIX conference on USENIX annual technical conference
Selective block minimization for faster convergence of limited memory large-scale linear models
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Learning hurdles for sleeping experts
Proceedings of the 3rd Innovations in Theoretical Computer Science Conference
Learning to select negotiation strategies in multi-agent meeting scheduling
EPIA'05 Proceedings of the 12th Portuguese conference on Progress in Artificial Intelligence
From external to internal regret
COLT'05 Proceedings of the 18th annual conference on Learning Theory
A closer look at adaptive regret
ALT'12 Proceedings of the 23rd international conference on Algorithmic Learning Theory
Sparsity regret bounds for individual sequences in online linear regression
The Journal of Machine Learning Research
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