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Flexible User Profiles for Large Scale Data Delivery. Ugur Cetintemel. Michael J. Franklin. C. Lee Giles. March 1999. University of Maryland Institute for Advanced Computer Studies. Department of Computer Science, University of Maryland.
Neural Learning of Chaotic Dynamics: The Error Propagation Algorithm. Rembrandt Bakker. Jaap C. Schouten. Cor M. van den Bleek. C. Lee Giles. October 1997. University of Maryland Institute for Advanced Computer Studies. Delft University of Technology, Department of Chemical Process. NEC Research Institute.
Alternative Discrete-Time Operators and Their Application to Nonlinear. Andrew D. Back. Ah Chung Tsoi. Bill G. Horne. C. Lee Giles. January 1997. University of Maryland Institute for Advanced Computer Studies. Dept. of Computer Science, Univ. of Maryland. Laboratory for Artificial Brain Systems, Institute of Physical and. Faculty of Informatics, University of Wollongong, Australia. AADM Consulting, Califon, NJ. NEC Research Institute, Princeton, NJ.
A Delay Damage Model Selection Algorithm for NARX Neural Networks. Tsungnan Lin. C. Lee Giles. Bill G. Horne. Sun-Yang Kung. December 1996. University of Maryland Institute for Advanced Computer Studies. Dept. of Computer Science, Univ. of Maryland. NEC Research Institute. Dept. of Electrical Engineering, Princeton University.
Performance of On-Line Learning Methods in Predicting Multiprocessor. Majd F. Sakr. Steven P. Levitan. Donald M. Chiarulli. Bill G. Horne. C. Lee Giles. October 1996. University of Maryland Institute for Advanced Computer Studies. NEC Research Institute, Princeton NJ. Electrical Engineering Department, University of Pittsburgh. Computer Science Department, University of Pittsburgh. Department of Computer Science, University of Maryland.
How Embedded Memory in Recurrent Neural Network Architectures Helps. Tsungnan Lin. Bill G. Horne. C. Lee Giles. August 1996. University of Maryland Institute for Advanced Computer Studies. Dept. of Computer Science, Univ. of Maryland. NEC Research Institute. Princeton University.
Noisy Time Series Prediction using Symbolic Representation and. Steve Lawrence. Ah Chung Tsoi. C. Lee Giles. April 1996. University if Maryland Institute for Advanced Computer Studies. Department of Computer Science, University of Maryland.
What Size Neural Network Gives Optimal Generalization? Convergence Properties of Backpropagation. Steve Lawrence. C. Lee Giles. Ah Chung Tsoi. April 1996. University of Maryland Institute for Advanced Computer Studies. Dept. of Computer Science, Univ. of Maryland.
Face Recognition: A Hybrid Neural Network Approach. Steve Lawrence. C. Lee Giles. Ah Chung Tsoi. Andrew D. Back. April 1996. University of Maryland Institute for Advanced Computer Studies. Dept. of Computer Science, Univ. of Maryland.
Fuzzy Finite-state Automata Can Be Deterministically Encoded into Recurrent Neural Networks. Christian W. Omlin. Karvel K. Thornber. C. Lee Giles. February 1996. University of Maryland Institute for Advanced Computer Studies. Dept. of Computer Science, Univ. of Maryland.
Product Unit Learning. Laurens R. Leerink. C. Lee Giles. Bill G. Horne. Marwan A. Jabri. January 1996. University of Maryland Institute for Advanced Computer Studies. Dept. of Computer Science, Univ. of Maryland.
Learning Long-Term Dependencies is Not as Difficult With NARX. Tsungnan Lin. Bill G. Horne. Peter Tino. C. Lee Giles. July 1995. University of Maryland Institute for Advanced Computer Studies. Dept. of Computer Science, Univ. of Maryland.
On the Applicability of Neural Network and Machine Learning. Steve Lawrence. C. Lee Giles. Sandiway Fong. June 1995. University of Maryland Institute for Advanced Computer Studies. Dept. of Computer Science, Univ. of Maryland.
Extraction of Rules from Discrete-Time. Christian W. Omlin. C. Lee Giles. May 1995. University of Maryland Institute for Advanced Computer Studies. Dept. of Computer Science, Univ. of Maryland.
Fixed Points in Two--Neuron Discrete Time Recurrent Networks:. Peter Tino. Bill G. Horne. C. Lee Giles. April 1995. University of Maryland Institute for Advanced Computer Studies. Dept. of Computer Science, Univ. of Maryland.
Constructing Deterministic Finite-State Automata. Christian W. Omlin. C. Lee Giles. May 1995. University of Maryland Institute for Advanced Computer Studies. Dept. of Computer Science, Univ. of Maryland.
Computational Capabilities of Recurrent NARX Neural Networks. Hava T. Siegelmann. Bill G. Horne. C. Lee Giles. March 1995. University of Maryland Institute for Advanced Computer Studies. Dept. of Computer Science, Univ. of Maryland.
Peter Tino. Bill G. Horne. C. Lee Giles. Finite State Machines. January 1995. University of Maryland Institute for Advanced Computer Studies. Dept. of Computer Science, Univ. of Maryland.
Stable Encoding of Large Finite-State Automata in Recurrent Neural. Christian W. Omlin. C. Lee Giles. December 1994. University of Maryland Institute for Advanced Computer Studies. Dept. of Computer Science, Univ. of Maryland.
C. Lee Giles. Bill G. Horne. T. Lin. August 1994. Learning a Class of Large Finite State Machines with a Recurrent. University of Maryland Institute for Advanced Computer Studies. Dept. of Computer Science, Univ. of Maryland.
Kam Jim. C. Lee Giles. Bill G. Horne. May 1994. Synaptic Noise in Dynamically-driven Recurrent Neural Networks:. University of Maryland Institute for Advanced Computer Studies. Dept. of Computer Science, Univ. of Maryland.
C. Lee Giles. Mark W. Goudreau. February 1994. Routing in Optical Multistage Interconnection Networks: a Neural Network. NEC Resesearch Institute, Princeton, NJ and.
Mark W. Goudreau. C. Lee Giles. February 1994. Using Recurrent Neural Networks to Learn the Structure of. Department of Computer Science,.
G.Z. Sun. C. Lee Giles. H.H. Chen. Y.C. Lee. August 1993. The Neural Network Pushdown Automaton: Model, Stack. NEC Resesearch Institute, Princeton, NJ and.
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