Stefan Wermter, Ron Sun (Eds.):
Hybrid Neural Systems, revised papers from a workshop held December 4-5, 1998, Denver, USA.
Lecture Notes in Computer Science 1778 Springer 2000, ISBN 3-540-67305-9 BibTeX
@proceedings{DBLP:conf/hybrid/1998hns,
editor = {Stefan Wermter and
Ron Sun},
title = {Hybrid Neural Systems, revised papers from a workshop held December
4-5, 1998, Denver, USA},
booktitle = {Hybrid Neural Systems},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {1778},
year = {2000},
isbn = {3-540-67305-9},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Structured Connectionism and Rule Representation
Distributed Neural Architectures and Language Processing
- Stefan C. Kremer, John F. Kolen:
Dynamical Recurrent Networks for Sequential Data Processing.
107-122 BibTeX
- Christian W. Omlin, C. Lee Giles, Karvel K. Thornber:
Fuzzy Knowledge and Recurrent Neural Networks: A Dynamical Systems Perspective.
123-143 BibTeX
- Marshall R. Mayberry, Risto Miikkulainen:
Combining Maps and Distributed Representations for Shift-Reduce Parsing.
144-157 BibTeX
- Stefan Wermter, Garen Arevian, Christo Panchev:
Towards Hybrid Neural Learning Internet Agents.
158-174 BibTeX
- William C. Morris, Garrison W. Cottrell, Jeffrey L. Elman:
A Connectionist Simulation of the Empirical Acquisition of Grammatical Relations.
175-193 BibTeX
- Pentti Kanerva:
Large Patterns Make Great Symbols: An Example of Learning from Example.
194-203 BibTeX
- Stephen I. Gallant:
Context Vectors: A Step Toward a "Grand Unified Representation".
204-210 BibTeX
- Paolo Frasconi, Marco Gori, Alessandro Sperduti:
Integration of Graphical Rules with Adaptive Learning of Structured Information.
211-225 BibTeX
Transformation and Explanation
- Alan B. Tickle, Frédéric Maire, Guido Bologna, Robert Andrews, Joachim Diederich:
Lessons from Past, Current Issues, and Future Research Directions in Extracting the Knowledge Embedded in Artificial Neural Networks.
226-239 BibTeX
- Guido Bologna:
Symbolic Rule Extraction from the DIMLP Neural Network.
240-254 BibTeX
- Peter Tiño, Georg Dorffner, Christian Schittenkopf:
Understanding State Space Organization in Recurrent Neural Networks with Iterative Function Systems Dynamics.
255-269 BibTeX
- Marylin L. Vaughn, Steven J. Cavill, Stewart J. Taylor, Michael A. Foy, Anthony J. B. Fogg:
Direct Explanations and Knowledge Extraction from a Multilayer Perceptron Network that Performs Low Back Pain Classification.
270-285 BibTeX
- Hod Lipson, Hava T. Siegelmann:
High Order Eigentensors as Symbolic Rules in Competitive Learning.
286-297 BibTeX
- James A. Hammerton, Barry L. Kalman:
Holistic Symbol Processing and the Sequential RAAM: An Evalutation.
298-312 BibTeX
Robotics,
Vision and Cognitive Approaches
Copyright © Sat May 16 23:15:33 2009
by Michael Ley (ley@uni-trier.de)