Learning boolean functions in an infinite attribute space
STOC '90 Proceedings of the twenty-second annual ACM symposium on Theory of computing
On-line learning of linear functions
STOC '91 Proceedings of the twenty-third annual ACM symposium on Theory of computing
The learning complexity of smooth functions of a single variable
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
On-line learning of rectangles in noisy environments
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Polynomial learnability of linear threshold approximations
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
On learning visual concepts and DNF formulae
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
On-line learning with linear loss constraints
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Learning binary relations using weighted majority voting
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Learning linear threshold functions in the presence of classification noise
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Simulating access to hidden information while learning
STOC '94 Proceedings of the twenty-sixth annual ACM symposium on Theory of computing
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
A dynamic disk spin-down technique for mobile computing
MobiCom '96 Proceedings of the 2nd annual international conference on Mobile computing and networking
On Bayes methods for on-line Boolean prediction
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
A composition theorem for learning algorithms with applications to geometric concept classes
STOC '97 Proceedings of the twenty-ninth annual ACM symposium on Theory of computing
On-line evaluation and prediction using linear functions
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
General convergence results for linear discriminant updates
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
The binary exponentiated gradient algorithm for learning linear functions
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Online Learning versus Offline Learning
Machine Learning
A new composition theorem for learning algorithms
STOC '98 Proceedings of the thirtieth annual ACM symposium on Theory of computing
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
A new on-line learning algorithm for adaptive text filtering
Proceedings of the seventh international conference on Information and knowledge management
Machine Learning - Special issue on context sensitivity and concept drift
Computational sample complexity and attribute-efficient learning
STOC '99 Proceedings of the thirty-first annual ACM symposium on Theory of computing
The robustness of the p-norm algorithms
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
On PAC learning using Winnow, Perceptron, and a Perceptron-like algorithm
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Predictive learning models for concept drift
Theoretical Computer Science - Algorithmic learning theory
Relative Loss Bounds for Multidimensional Regression Problems
Machine Learning
On-line learning with malicious noise and the closure algorithm
Annals of Mathematics and Artificial Intelligence
General Convergence Results for Linear Discriminant Updates
Machine Learning
The Relaxed Online Maximum Margin Algorithm
Machine Learning
PAC Analogues of Perceptron and Winnow Via Boosting the Margin
Machine Learning
Direct and indirect algorithms for on-line learning of disjunctions
Theoretical Computer Science
Potential-Based Algorithms in On-Line Prediction and Game Theory
Machine Learning
Evidence that Incremental Delta-Bar-Delta Is an Attribute-Efficient Linear Learner
ECML '02 Proceedings of the 13th European Conference on Machine Learning
On Teaching and Learning Intersection-Closed Concept Classes
EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
Direct and Indirect Algorithms for On-line Learning of Disjunctions
EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
Predictive Learning Models for Concept Drift
ALT '98 Proceedings of the 9th International Conference on Algorithmic Learning Theory
Experiments with Projection Learning
DS '02 Proceedings of the 5th International Conference on Discovery Science
Learning Monotone DNF from a Teacher That Almost Does Not Answer Membership Queries
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
Learning Additive Models Online with Fast Evaluating Kernels
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
Tracking Linear-Threshold Concepts with Winnow
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
Minimum majority classification and boosting
Eighteenth national conference on Artificial intelligence
Online learning of linear classifiers
Advanced lectures on machine learning
Tracking the best linear predictor
The Journal of Machine Learning Research
Learning monotone dnf from a teacher that almost does not answer membership queries
The Journal of Machine Learning Research
On online learning of decision lists
The Journal of Machine Learning Research
The Robustness of the p-Norm Algorithms
Machine Learning
Tracking linear-threshold concepts with Winnow
The Journal of Machine Learning Research
Selected AI-Related Dissertations
ACM SIGART Bulletin
Neural Computation
Online Passive-Aggressive Algorithms
The Journal of Machine Learning Research
Toward Attribute Efficient Learning of Decision Lists and Parities
The Journal of Machine Learning Research
Worst-Case Analysis of Selective Sampling for Linear Classification
The Journal of Machine Learning Research
A primal-dual perspective of online learning algorithms
Machine Learning
Learning to assign degrees of belief in relational domains
Machine Learning
Learning prediction suffix trees with Winnow
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Online learning by ellipsoid method
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Learning to reason the non monotonic case
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Information and Computation
On-line learning with linear loss constraints
Information and Computation
Probably approximately correct learning
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2
Worst-case absolute loss bounds for linear learning algorithms
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Linear Algorithms for Online Multitask Classification
The Journal of Machine Learning Research
Active learning using on-line algorithms
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Online learning meets optimization in the dual
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Tracking the best hyperplane with a simple budget perceptron
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Online Learning and Online Convex Optimization
Foundations and Trends® in Machine Learning
Confidence-weighted linear classification for text categorization
The Journal of Machine Learning Research
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