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Abstract: This paper investigates the reasons for the poor performance on learning deeply embedded structure in light of simulations using the context-free language a (Update)
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BibTeX entry: (Update)
@misc{ eacute-ability,
author = "Mikael Bodén and Janet Wiles and Bradley Tonkes and Alan Blair",
title = "On the Ability of Recurrent Nets to Learn Deeply Embedded Structures",
url = "citeseer.ist.psu.edu/247451.html" }
Citations (may not include all citations):240 In Advances in Neural Information Processing Systems (context) - Neural, Systems et al. - 1990
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141 The induction of dynamical recognizers - Pollack - 1991
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19 Discrete recurrent neural networks for grammatical inference (context) - Zheng, Goodman et al. - 1994
13 Using prior knowledge in an NNPDA to learn context-free lang.. - Das, Giles et al. - 1993
8 Finite state automata and simple recurrent neural networks N.. (context) - Cleeremans, Servan-Schreiber et al. - 1989
4 A recurrent neural network that learns to count (context) - Learning, Rodriguez et al. - 1999
1 and Lehmann (context) - Holldobler, Kalinke - 1997
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