The robustness of the p-norm algorithms
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Relative Loss Bounds for Multidimensional Regression Problems
Machine Learning
General Convergence Results for Linear Discriminant Updates
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
Direct and Indirect Algorithms for On-line Learning of Disjunctions
EuroCOLT '99 Proceedings of the 4th 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
A Second-Order Perceptron Algorithm
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
Online learning of linear classifiers
Advanced lectures on machine learning
Covering number bounds of certain regularized linear function classes
The Journal of Machine Learning Research
A new approximate maximal margin classification algorithm
The Journal of Machine Learning Research
Text chunking based on a generalization of winnow
The Journal of Machine Learning Research
The Robustness of the p-Norm Algorithms
Machine Learning
Path kernels and multiplicative updates
The Journal of Machine Learning Research
Tracking linear-threshold concepts with Winnow
The Journal of Machine Learning Research
On approximating weighted sums with exponentially many terms
Journal of Computer and System Sciences
Text chunking using regularized Winnow
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
ICML '05 Proceedings of the 22nd international conference on Machine learning
Worst-Case Analysis of Selective Sampling for Linear Classification
The Journal of Machine Learning Research
Proceedings of the 24th international conference on Machine learning
A scalable modular convex solver for regularized risk minimization
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Tracking the best hyperplane with a simple budget Perceptron
Machine Learning
Intrinsic Geometries in Learning
Emerging Trends in Visual Computing
Online learning by ellipsoid method
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Tracking the best hyperplane with a simple budget perceptron
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Loss bounds for online category ranking
COLT'05 Proceedings of the 18th annual conference on Learning Theory
COLT'05 Proceedings of the 18th annual conference on Learning Theory
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