| * | 2007 |
|---|
| 12 | EE | Bradley Tonkes,
Alan D. Blair:
Decentralised data fusion with exponentials of polynomials.
IROS 2007: 3727-3732 |
| 2003 |
|---|
| 11 | | Alan D. Blair,
John Ingram:
Learning to Predict the Phonological Structure of English Loanwords in Japanese.
Appl. Intell. 19(1-2): 101-108 (2003) |
| 10 | | Mikael Bodén,
Alan D. Blair:
Learning the Dynamics of Embedded Clauses.
Appl. Intell. 19(1-2): 51-63 (2003) |
| 9 | EE | Stephan K. Chalup,
Alan D. Blair:
Incremental training of first order recurrent neural networks to predict a context-sensitive language.
Neural Networks 16(7): 955-972 (2003) |
| 2002 |
|---|
| 8 | EE | Stephan K. Chalup,
Alan D. Blair:
Software for Analysing Recurrent Neural Nets That Learn to Predict Non-regular Languages.
ICGI 2002: 296-298 |
| 2001 |
|---|
| 7 | EE | Steven Versteeg,
Alan D. Blair:
Getting the Job Done in a Hostile Environment.
Australian Joint Conference on Artificial Intelligence 2001: 507-518 |
| 1999 |
|---|
| 6 | EE | Bradley Tonkes,
Alan D. Blair,
Janet Wiles:
Evolving Learnable Languages.
NIPS 1999: 66-72 |
| 1998 |
|---|
| 5 | EE | Bradley Tonkes,
Alan D. Blair,
Janet Wiles:
A Paradox of Neural Encoders and Decoders or Why Don't We Talk Backwards?
SEAL 1998: 357-364 |
| 4 | EE | Alan D. Blair,
Elizabeth Sklar,
Pablo Funes:
Co-evolution, Determinism and Robustness.
SEAL 1998: 389-396 |
| 3 | | Jordan B. Pollack,
Alan D. Blair:
Co-Evolution in the Successful Learning of Backgammon Strategy.
Machine Learning 32(3): 225-240 (1998) |
| 1997 |
|---|
| 2 | EE | Alan D. Blair,
Jordan B. Pollack:
Analysis of Dynamical Recognizers.
Neural Computation 9(5): 1127-1142 (1997) |
| 1996 |
|---|
| 1 | EE | Jordan B. Pollack,
Alan D. Blair:
Why did TD-Gammon Work?
NIPS 1996: 10-16 |
