On-line learning in a discrete state space
凝聚态物理
2007-05-23 v1
摘要
On-line learning of a rule given by an N-dimensional Ising perceptron, is considered for the case when the student is constrained to take values in a discrete state space of size . For L=2 no on-line algorithm can achieve a finite overlap with the teacher in the thermodynamic limit. However, if is on the order of , Hebbian learning does achieve a finite overlap.
引用
@article{arxiv.cond-mat/9705257,
title = {On-line learning in a discrete state space},
author = {W. Kinzel and R. Urbanczik},
journal= {arXiv preprint arXiv:cond-mat/9705257},
year = {2007}
}
备注
7 pages, 1 Figure, Latex, submitted to J.Phys.A