Bill G. Horne

2003
20	EE	Stuart 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
2001
19	EE	Bill G. Horne, Benny Pinkas, Tomas Sander: Escrow services and incentives in peer-to-peer networks. ACM Conference on Electronic Commerce 2001: 85-94
18	EE	Bill 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)
2000
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)
1998
15	EE	Don 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)
14	EE	Tsungnan 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)
1997
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)
1996
10	EE	Daniel 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
9	EE	Bill 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)
1995
8	EE	Tsungnan 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
6	EE	C. 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)
1994
5	EE	Laurens R. Leerink, C. Lee Giles, Bill G. Horne, Marwan A. Jabri: Learning with Product Units. NIPS 1994: 537-544
4	EE	Kam-Chuen Jim, Bill G. Horne, C. Lee Giles: Effects of Noise on Convergence and Generalization in Recurrent Networks. NIPS 1994: 649-656
3	EE	Bill G. Horne, C. Lee Giles: An experimental comparison of recurrent neural networks. NIPS 1994: 697-704
2	EE	Bill G. Horne, Don R. Hush: On the node complexity of neural networks. Neural Networks 7(9): 1413-1426 (1994)
1993
1	EE	Bill G. Horne, Don R. Hush: Bounds on the Complexity of Recurrent Neural Network Implementations of Finite State Machines. NIPS 1993: 359-366

Coauthor Index

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

Colors in the list of coauthors