The perceptron algorithm is fast for nonmalicious distributions
Neural Computation
Halfspace learning, linear programming, and nonmalicious distributions
Information Processing Letters
Efficient noise-tolerant learning from statistical queries
Journal of the ACM (JACM)
Machine Learning
Efficient algorithms in computational learning theory
Efficient algorithms in computational learning theory
Everything old is new again: a fresh look at historical approaches in machine learning
Everything old is new again: a fresh look at historical approaches in machine learning
Information Processing Letters
Learning intersections and thresholds of halfspaces
Journal of Computer and System Sciences - Special issue on FOCS 2002
Agnostically Learning Halfspaces
FOCS '05 Proceedings of the 46th Annual IEEE Symposium on Foundations of Computer Science
A Learning-Theory Approach to Sensor Networks
IEEE Pervasive Computing
On the sample complexity of PAC learning half-spaces against the uniform distribution
IEEE Transactions on Neural Networks
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We provide sample complexity of the problem of learning halfspaces with monotonic noise, using the regularized least squares algorithm in the reproducing kernel Hilbert spaces (RKHS) framework.