# Items where Division is "College of Engineering & Physical Sciences > Systems analytics research institute (SARI)" and Year is 1996

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**9**.

## B

Barber, David, Saad, David and Sollich, Peter
(1996).
Finite-size effects in on-line learning of multilayer neural networks.
*Europhysics Letters*, 34
(2),
pp. 151-156.

Bishop, Christopher M. and Nabney, Ian T.
(1996).
Modelling conditional probability distributions for periodic variables.
*Neural Computation*, 8
(5),
pp. 209-214.

## L

Lowe, David and Tipping, Michael E
(1996).
Feed-forward neural networks and topographic mappings for exploratory data analysis.
*Neural Computing and Applications*, 4
(2),
pp. 83-95.

## N

Nabney, Ian T., McLachlan, Alan and Lowe, David
(1996).
*Practical methods of tracking of nonstationary time series applied to real-world data.*
IN: Applications and science of artificial neural networks II.
Rogers, S.K. and Ruck, D.W. (eds)
SPIE proceedings, 2760
.
USA: SPIE.

## R

Rebollo Neira, L. and Constantinides, A.G.
(1996).
Power spectrum estimation from values of noisy autocorrelations.
*Signal processing*, 50
(3),
pp. 223-231.

## S

Saad, David
(1996).
General gaussian priors for improved generalisation.
*Neural Networks*, 9
(6),
pp. 937-945.

Saad, David and Solla, Sara A.
(1996).
Dynamics of on-line gradient descent learning for multilayer neural networks.
*Advances in Neural Information Processing Systems*, 8
,
pp. 302-308.

Saad, David and Solla, Sara A.
(1996).
Learning with noise and regularizers in multilayer neural networks.
*Advances in Neural Information Processing Systems*, 9
,
pp. 260-266.

## W

West, Ansgar H L and Saad, David
(1996).
*Adaptive back-propagation in on-line learning of multilayer networks.*
IN: Proceedings of the neural information processing systems.
Touretzky, David S; Mozer, Michael C and Hasselmo, Michael E. (eds)
Boston: MIT.