Learning probabilistically consistent linear threshold functions

Adaptive signal processing

Adaptive signal processing

Toward efficient agnostic learning

COLT '92 Proceedings of the fifth annual workshop on Computational learning theory

C4.5: programs for machine learning

C4.5: programs for machine learning

Very Simple Classification Rules Perform Well on Most Commonly Used Datasets

Machine Learning

Learning linear threshold functions in the presence of classification noise

COLT '94 Proceedings of the seventh annual conference on Computational learning theory

The weighted majority algorithm

Information and Computation

Robust trainability of single neurons

Journal of Computer and System Sciences

Machine Learning

Machine Learning

A polynomial-time algorithm for learning noisy linear threshold functions

FOCS '96 Proceedings of the 37th Annual Symposium on Foundations of Computer Science

Pattern Classification (2nd Edition)

Pattern Classification (2nd Edition)