On PAC learning using Winnow, Perceptron, and a Perceptron-like algorithm
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Information Processing Letters
Agnostically Learning Halfspaces
FOCS '05 Proceedings of the 46th Annual IEEE Symposium on Foundations of Computer Science
A bound on the label complexity of agnostic active learning
Proceedings of the 24th international conference on Machine learning
A Uniform Lower Error Bound for Half-Space Learning
ALT '08 Proceedings of the 19th international conference on Algorithmic Learning Theory
Journal of Computer and System Sciences
Using the doubling dimension to analyze the generalization of learning algorithms
Journal of Computer and System Sciences
COLT'07 Proceedings of the 20th annual conference on Learning theory
The regularized least squares algorithm and the problem of learning halfspaces
Information Processing Letters
Efficient algorithms for general active learning
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Analysis of perceptron-based active learning
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Hi-index | 0.00 |
We prove an Ω(d/ε+1/εlog1/δ) lower bound on the PAC (probably approximately correct) learning sample complexity of learning half-spaces against the uniform distribution on the unit ball in Rd