Bill G. Horne Vis

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20EEStuart Haber, Bill G. Horne, Joe Pato, Tomas Sander, Robert Endre Tarjan: If Piracy Is the Problem, Is DRM the Answer? Digital Rights Management 2003: 224-233
19EEBill G. Horne, Benny Pinkas, Tomas Sander: Escrow services and incentives in peer-to-peer networks. ACM Conference on Electronic Commerce 2001: 85-94
18EEBill G. Horne, Lesley R. Matheson, Casey Sheehan, Robert Endre Tarjan: Dynamic Self-Checking Techniques for Improved Tamper Resistance. Digital Rights Management Workshop 2001: 141-159
17 Peter Tiño, Bill G. Horne, C. Lee Giles: Attractive Periodic Sets in Discrete-Time Recurrent Networks (with Emphasis on Fixed-Point Stability and Bifurcations in Two-Neuron Networks). Neural Computation 13(6): 1379-1414 (2001)
16 Frank L. Lewis, Bill G. Horne, Chaouki T. Abdallah: Computational complexity of determining resource loops in re-entrant flow lines. IEEE Transactions on Systems, Man, and Cybernetics, Part A 30(2): 222-229 (2000)
15EEDon R. Hush, Bill G. Horne: Efficient algorithms for function approximation with piecewise linear sigmoidal networks. IEEE Transactions on Neural Networks 9(6): 1129-1141 (1998)
14EETsungnan Lin, Bill G. Horne, C. Lee Giles: How embedded memory in recurrent neural network architectures helps learning long-term temporal dependencies. Neural Networks 11(5): 861-868 (1998)
13 M. F. Sakr, Steven P. Levitan, Donald M. Chiarulli, Bill G. Horne, C. Lee Giles: Predicting Multiprocessor Memory Access Patterns with Learning Models. ICML 1997: 305-312
12 Don R. Hush, Fernando Lozano, Bill G. Horne: Function Approximation with the Sweeping Hinge Algorithm. NIPS 1997
11 Hava T. Siegelmann, Bill G. Horne, C. Lee Giles: Computational capabilities of recurrent NARX neural networks. IEEE Transactions on Systems, Man, and Cybernetics, Part B 27(2): 208-215 (1997)
10EEDaniel S. Clouse, C. Lee Giles, Bill G. Horne, Garrison W. Cottrell: Representation and Induction of Finite State Machines using Time-Delay Neural Networks. NIPS 1996: 403-409
9EEBill G. Horne, Don R. Hush: Bounds on the complexity of recurrent neural network implementations of finite state machines. Neural Networks 9(2): 243-252 (1996)
8EETsungnan Lin, Bill G. Horne, Peter Tiño, C. Lee Giles: Learning long-term dependencies is not as difficult with NARX networks. NIPS 1995: 577-583
7 Bill G. Horne, Hava T. Siegelmann, C. Lee Giles: What NARX Networks Can Compute. SOFSEM 1995: 95-102
6EEC. Lee Giles, Bill G. Horne, Tsungnan Lin: Learning a class of large finite state machines with a recurrent neural network. Neural Networks 8(9): 1359-1365 (1995)
5EELaurens R. Leerink, C. Lee Giles, Bill G. Horne, Marwan A. Jabri: Learning with Product Units. NIPS 1994: 537-544
4EEKam-Chuen Jim, Bill G. Horne, C. Lee Giles: Effects of Noise on Convergence and Generalization in Recurrent Networks. NIPS 1994: 649-656
3EEBill G. Horne, C. Lee Giles: An experimental comparison of recurrent neural networks. NIPS 1994: 697-704
2EEBill G. Horne, Don R. Hush: On the node complexity of neural networks. Neural Networks 7(9): 1413-1426 (1994)
1EEBill G. Horne, Don R. Hush: Bounds on the Complexity of Recurrent Neural Network Implementations of Finite State Machines. NIPS 1993: 359-366

Coauthor Index

1Chaouki T. Abdallah [16]
2Donald M. Chiarulli [13]
3Daniel S. Clouse [10]
4Garrison W. Cottrell [10]
5C. Lee Giles (Clyde Lee Giles) [3] [4] [5] [6] [7] [8] [10] [11] [13] [14] [17]
6Stuart Haber [20]
7Don R. Hush [1] [2] [9] [12] [15]
8Marwan A. Jabri [5]
9Kam-Chuen Jim [4]
10Laurens R. Leerink [5]
11Steven P. Levitan [13]
12Frank L. Lewis [16]
13Tsungnan Lin (Tsung-Nan Lin) [6] [8] [14]
14Fernando Lozano [12]
15Lesley R. Matheson [18]
16Joe Pato [20]
17Benny Pinkas [19]
18M. F. Sakr [13]
19Tomas Sander [19] [20]
20Casey Sheehan [18]
21Hava T. Siegelmann [7] [11]
22Robert Endre Tarjan [18] [20]
23Peter Tiño (Peter Tino) [8] [17]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)