 | 2011 |
|---|
| 9 |       | Denise Gorse:
Application of stochastic recurrent reinforcement learning to index trading.
ESANN 2011 |
| 2010 |
|---|
| 8 | | Jean Krohn,
Denise Gorse:
Fractal Gene Regulatory Networks for Control of Nonlinear Systems.
PPSN (2) 2010: 209-218 |
| 1997 |
|---|
| 7 | | Denise Gorse,
Adrian J. Shepherd,
John G. Taylor:
The New ERA in Supervised Learning.
Neural Networks 10(2): 343-352 (1997) |
| 6 | | Denise Gorse,
David A. Romano-Critchley,
John G. Taylor:
A pulse-based reinforcement algorithm for learning continuous functions.
Neurocomputing 14(4): 319-344 (1997) |
| 1995 |
|---|
| 5 | | Trevor G. Clarkson,
John G. Taylor,
Denise Gorse:
Response to letter by K. Gurney.
Neural Networks 8(3): 491- (1995) |
| 1994 |
|---|
| 4 | | Y. Guan,
Trevor G. Clarkson,
John G. Taylor,
Denise Gorse:
Noisy reinforcement training for pRAM nets.
Neural Networks 7(3): 523-528 (1994) |
| 1993 |
|---|
| 3 | | Denise Gorse,
Adrian J. Shepherd,
John G. Taylor:
Traking global minima using a range expansion algorithm.
ESANN 1993 |
| 1992 |
|---|
| 2 | | Trevor G. Clarkson,
Denise Gorse,
John G. Taylor,
C. K. Ng:
Learning Probabilistic RAM Nets Using VLSI Structures.
IEEE Trans. Computers 41(12): 1552-1561 (1992) |
| 1991 |
|---|
| 1 | | Denise Gorse,
John G. Taylor:
A continuous input RAM-based stochastic neural model.
Neural Networks 4(5): 657-665 (1991) |
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