Items where Division is "College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies > Applied Mathematics & Data Science" and Year is 1998

Basu, C., Canali, C.M., Kravtsov, V.E. and Yurkevich, I.V. (1998). Level curvature distribution and the structure of eigenfunctions in disordered systems. Physical Review B, 57 (22), pp. 14174-14191.

Rattray, Magnus and Saad, David (1998). Globally optimal on-line learning rules. Advances in Neural Information Processing Systems, 10 , pp. 322-328.

Rattray, Magnus and Saad, David (1998). Transients and asymptotics of natural gradient learning. IN: Proceedings of the 8th International Conference on Artificial Neural Networks. Niklasson, L.; Boden, M. and Ziemke, T. (eds) Springer.

Rattray, Magnus and Saad, David (1998). The dynamics of matrix momentum. IN: Proceedings of the 8th International Conference on Artificial Neural Networks. Niklasson, Lars F.; Boden, Mikael B. and Ziemke, Tom (eds) Springer.

Rebollo - Neira, Laura, Constantinides, Anthony G. and Stathaki, Tania (1998). Signal representation for compression and noise reduction through frame-based wavelets. IEEE Transactions on Signal Processing, 46 (3), pp. 587-597.

Rebollo - Neira, Laura, Plastino, A. and Fernandez-Rubio, J. (1998). On the q=1/2 non-extensive maximum entropy distribution. Physica A, 258 (3-4), pp. 458-465.

Rebollo - Neira, Laura, Plastino, A. and Fernandez-Rubio, J. (1998). A non-extensive maximum entropy based regularization method for bad conditioned inverse problems. Physica A, 261 (3-4), pp. 555-568.

Saad, David and Rattray, Magnus (1998). Globally optimal learning rates in multilayer neural networks. Philosophical Magazine Part B, 77 (5), pp. 1523-1530.

Saad, David and Rattray, Magnus (1998). Learning with regularizers in multilayer neural networks. Physical Review E, 57 (2), pp. 2170-2176.