Bill G. Horne (Selection)

William G. Horne

Hewlett-Packard Laboratories, Princeton, NJ, USA

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19 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)

15 Tsung-Nan Lin, C. Lee Giles, Bill G. Horne, Sun-Yuan Kung: A delay damage model selection algorithm for NARX neural networks. IEEE Transactions on Signal Processing 45(11): 2719-2730 (1997)

12 Tsungnan Lin, Bill G. Horne, Peter Tino, C. Lee Giles: Learning long-term dependencies in NARX recurrent neural networks. IEEE Trans. Neural Netw. Learning Syst. 7(6): 1329-1338 (1996)

9 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 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)

Selection of 5 from 29 records - Bill G. Horne has 37 coauthors

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19		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)
15		Tsung-Nan Lin, C. Lee Giles, Bill G. Horne, Sun-Yuan Kung: A delay damage model selection algorithm for NARX neural networks. IEEE Transactions on Signal Processing 45(11): 2719-2730 (1997)
12		Tsungnan Lin, Bill G. Horne, Peter Tino, C. Lee Giles: Learning long-term dependencies in NARX recurrent neural networks. IEEE Trans. Neural Netw. Learning Syst. 7(6): 1329-1338 (1996)
9		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		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)