@inproceedings{05d7c225b1464aec81d4520f8ee3c6ee,
title = "Training Second-Order Recurrent Neural Networks using Hints",
abstract = "We investigate a method for inserting rules into discrete-time second-order recurrent neural networks which are trained to recognize regular languages. The rules defining regular languages can be expressed in the form of transitions in the corresponding deterministic finite-state automaton. Inserting these rules as hints into networks with second-order connections is straightforward. Our simulation results show that even weak hints seem to improve the convergence time by an order of magnitude.",
author = "Omlin, {Christian W.} and Giles, {C. Lee}",
note = "Publisher Copyright: {\textcopyright} 1992 Proceedings of the 9th International Workshop on Machine Learning, ICML 1992. All rights reserved.; 9th International Conference on Machine Learning, ICML 1992 ; Conference date: 01-07-1992 Through 03-07-1992",
year = "1992",
doi = "10.1016/B978-1-55860-247-2.50051-6",
language = "English (US)",
series = "Proceedings of the 9th International Workshop on Machine Learning, ICML 1992",
publisher = "Morgan Kaufmann Publishers, Inc.",
pages = "361--366",
editor = "Sleeman, {Derek H.} and Peter Edwards",
booktitle = "Proceedings of the 9th International Workshop on Machine Learning, ICML 1992",
address = "United States",
}