On learning binary weights for majority functions

Average case analysis of the clipped Hebb rule for nonoverlapping perception networks

COLT '93 Proceedings of the sixth annual conference on Computational learning theory

On the average tractability of binary integer programming and the curious transition to perfect generalization in learning majority functions

COLT '93 Proceedings of the sixth annual conference on Computational learning theory

On genetic algorithms

COLT '95 Proceedings of the eighth annual conference on Computational learning theory

On the optimal capacity of binary neural networks: rigorous combinatorial approaches

COLT '95 Proceedings of the eighth annual conference on Computational learning theory

Where Genetic Algorithms Excel

Evolutionary Computation

On learning perceptrons with binary weights

Neural Computation