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Connection Science Volume 7, 1995 - Issue 1
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Original Articles

Tail-recursive Distributed Representations and Simple Recurrent Networks

STAN C. KWASNY Department of Computer Science, Washington University, Campus Box 1045, St Louis, MO, 63130, USAView further author information
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BARRY L. KALMAN Department of Computer Science, Washington University, Campus Box 1045, St Louis, MO, 63130, USAView further author information
Pages 61-80 | Received 04 May 1994, Accepted 01 Jul 1994, Published online: 06 Apr 2007

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Jonathan A Tepper, Heather M Powell & Dominic Palmer-Brown. (2002) A corpus-based connectionist architecture for large-scale natural language parsing. Connection Science 14:2, pages 93-114.
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Articles from other publishers (10)

Thomas Voegtlin & Peter F. Dominey. (2005) Linear recursive distributed representations. Neural Networks 18:7, pages 878-895.
Crossref
H. Nakagama & S. Tanaka. (2002) An experimental comparison of recurrent neural network for natural language production. An experimental comparison of recurrent neural network for natural language production.
Paul Rodriguez. (2001) Simple Recurrent Networks Learn Context-Free and Context-Sensitive Languages by Counting. Neural Computation 13:9, pages 2093-2118.
Crossref
Edward Kei Shiu Ho & Lai Wan Chan. (2001) Analyzing Holistic Parsers: Implications for Robust Parsing and Systematicity. Neural Computation 13:5, pages 1137-1170.
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James A. Hammerton & Barry L. Kalman. 2000. Hybrid Neural Systems. Hybrid Neural Systems 298 312 .
Ivelin Stoianov. 1999. Recurrent Neural Networks. Recurrent Neural Networks.
Edward Kei Shin Ho & Lai Wan Chan. (1999) How to Design a Connectionist Holistic Parser. Neural Computation 11:8, pages 1995-2016.
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Barry L. Kalman, William R. Reinus, Stan C. Kwasny, Andrew Laine & Lawrence Kotner. (1997) Prescreening entire mammograms for masses with artificial neural networks: Preliminary results. Academic Radiology 4:6, pages 405-414.
Crossref
Barry L. Kalman & Stan C. Kwasny. (1997) High performance training of feedforward and simple recurrent networks. Neurocomputing 14:1, pages 63-83.
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Robert E Callan & Dominic Palmer-Brown. 1996. Artificial Neural Networks — ICANN 96. Artificial Neural Networks — ICANN 96 341 346 .

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