Mistake bounds and logarithmic linear-threshold learning algorithms
Mistake bounds and logarithmic linear-threshold learning algorithms
COLT '90 Proceedings of the third annual workshop on Computational learning theory
Redundant noisy attributes, attribute errors, and linear-threshold learning using winnow
COLT '91 Proceedings of the fourth annual workshop on Computational learning theory
The weighted majority algorithm
Information and Computation
On-line prediction and conversion strategies
Machine Learning
Journal of the ACM (JACM)
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
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Large margin classification using the perceptron algorithm
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Machine Learning - Special issue on context sensitivity and concept drift
Relative loss bounds for multidimensional regression problems
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Linear hinge loss and average margin
Proceedings of the 1998 conference on Advances in neural information processing systems II
Machine Learning
Machine Learning
A decision-theoretic extension of stochastic complexity and its applications to learning
IEEE Transactions on Information Theory
Worst-case quadratic loss bounds for prediction using linear functions and gradient descent
IEEE Transactions on Neural Networks
Relative Loss Bounds for Multidimensional Regression Problems
Machine Learning
General Convergence Results for Linear Discriminant Updates
Machine Learning
PAC Analogues of Perceptron and Winnow Via Boosting the Margin
Machine Learning
Potential-Based Algorithms in On-Line Prediction and Game Theory
Machine Learning
Large Margin Classification for Moving Targets
ALT '02 Proceedings of the 13th International Conference on Algorithmic Learning Theory
Smooth Boosting and Learning with Malicious Noise
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
Online learning of linear classifiers
Advanced lectures on machine learning
Tracking the best linear predictor
The Journal of Machine Learning Research
Prior knowledge and preferential structures in gradient descent learning algorithms
The Journal of Machine Learning Research
A new approximate maximal margin classification algorithm
The Journal of Machine Learning Research
Smooth boosting and learning with malicious noise
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
Step Size Adaptation in Reproducing Kernel Hilbert Space
The Journal of Machine Learning Research
Incremental margin algorithm for large margin classifiers
Neurocomputing
Efficient and numerically stable sparse learning
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Online Learning and Online Convex Optimization
Foundations and Trends® in Machine Learning
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