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IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 5
RAAM for Infinite Context-Free Languages
Como, Italy
July 24-July 27
ISBN: 0-7695-0619-4
ASCII Text
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Ofer Melnik, Simon Levy, Jordan Pollack, "RAAM for Infinite Context-Free Languages," Neural Networks, IEEE - INNS - ENNS International Joint Conference on, vol. 5, pp. 5585, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 5, 2000.
 
 
BibTex
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@article{ 10.1109/IJCNN.2000.861532,
author = {Ofer Melnik and Simon Levy and Jordan Pollack},
title = {RAAM for Infinite Context-Free Languages},
journal ={Neural Networks, IEEE - INNS - ENNS International Joint Conference on},
volume = {5},
year = {2000},
issn = {1098-7576},
pages = {5585},
doi = {http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.861532},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Neural Networks, IEEE - INNS - ENNS International Joint Conference on
TI - RAAM for Infinite Context-Free Languages
SN - 1098-7576
SP
EP
A1 - Ofer Melnik,
A1 - Simon Levy,
A1 - Jordan Pollack,
PY - 2000
VL - 5
JA - Neural Networks, IEEE - INNS - ENNS International Joint Conference on
ER -
 
Ofer Melnik, Brandeis University
Simon Levy, Brandeis University
Jordan Pollack, Brandeis University
With its ability to represent variable sized trees in fixed width patterns, RAAM is a bridge between connectionist and symbolic systems. In the past, due to limitations in our understanding, its development plateaued. By examining RAAM from a dynamical systems perspective, we overcome most of the problems that previously plagued it. In fact, using a dynamical systems analysis we can no w prove that not only is RAAM capable of generating parts of a context free language (anbn) but is capable of expressing the whole language.
Citation:
Ofer Melnik, Simon Levy, Jordan Pollack, "RAAM for Infinite Context-Free Languages," ijcnn, vol. 5, pp.5585, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 5, 2000
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