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
STOC '93 Proceedings of the twenty-fifth annual ACM symposium on Theory of computing
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
On Bayes methods for on-line Boolean prediction
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
Exponentiated gradient versus gradient descent for linear predictors
Information and Computation
Relative loss bounds for multidimensional regression problems
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
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
PAC Analogues of Perceptron and Winnow Via Boosting the Margin
Machine Learning
A geometric approach to leveraging weak learners
Theoretical Computer Science
Potential-Based Algorithms in On-Line Prediction and Game Theory
Machine Learning
Ultraconservative Online Algorithms for Multiclass Problems
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational 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
Tracking Linear-Threshold Concepts with Winnow
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
Prior knowledge and preferential structures in gradient descent learning algorithms
The Journal of Machine Learning Research
Smooth boosting and learning with malicious noise
The Journal of Machine Learning Research
Setting attribute weights for k-NN based binary classification via quadratic programming
Intelligent Data Analysis
Tracking the best hyperplane with a simple budget Perceptron
Machine Learning
Relative loss bounds for on-line density estimation with the exponential family of distributions
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
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