Polynomial learnability of linear threshold approximations
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Noise-tolerant parallel learning of geometric concepts
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Noise-tolerant distribution-free learning of general geometric concepts
STOC '96 Proceedings of the twenty-eighth annual ACM symposium on Theory of computing
Noise-tolerant distribution-free learning of general geometric concepts
Journal of the ACM (JACM)
On PAC learning using Winnow, Perceptron, and a Perceptron-like algorithm
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Combining the Perceptron Algorithm with Logarithmic Simulated Annealing
Neural Processing Letters
PAC Analogues of Perceptron and Winnow Via Boosting the Margin
Machine Learning
Agnostically Learning Halfspaces
FOCS '05 Proceedings of the 46th Annual IEEE Symposium on Foundations of Computer Science
Designing neural networks for tackling hard classification problems
WSEAS TRANSACTIONS on SYSTEMS
The regularized least squares algorithm and the problem of learning halfspaces
Information Processing Letters
Analysis of perceptron-based active learning
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Logarithmic simulated annealing for X-ray diagnosis
Artificial Intelligence in Medicine
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