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  • 2002

    Independent component analysis for domain independent watermarking

    Bounkong, S., Saad, D. & Lowe, D., 1 Jan 2002, Artificial Neural Networks — ICANN 2002. Dorronso, J. R. (ed.). Berlin: Springer, Vol. 2415. p. 510-515 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2415 LNCS).

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  • Magnetization enumerator for LDPC codes - a statistical physics approach

    van Mourik, J., Saad, D. & Kabashima, Y., 2002, Information Theory, 2002. Proceedings. 2002 IEEE International Symposium on. IEEE, p. 256-256 1 p.

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  • 2001

    Error-correcting codes on a Bethe-like lattice

    Vicente, R., Saad, D. & Kabashima, Y., Apr 2001, Advances in neural information processing systems. Leen, T. K., Tresp, V. & Dietterich, T. G. (eds.). MIT, Vol. 13. p. 322-328 7 p.

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  • Online approximations for wind-field models

    Csató, L., Cornford, D. & Opper, M., 1 Jan 2001, Artificial Neural Networks — ICANN 2001. Springer, Vol. 2130. p. 300-307 8 p. (Lecture Notes in Computer Science).

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  • Statistical physics of low density parity check error correcting codes

    Saad, D., Kabashima, Y., Murayama, T. & Vicente, R., 1 Jan 2001, Cryptography and Coding. Honary, B. (ed.). Berlin / Heidelberg: Springer, Vol. 2260. p. 307-316 10 p. (Lecture Notes in Computer Science).

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  • TAP for parity check error correcting codes

    Saad, D., Kabashima, Y. & Vicente, R., Feb 2001, Advanced mean field methods: Theory and practice. Opper, M. & Saad, D. (eds.). MIT, p. 67-84 18 p. (Neural Information Processing).

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  • The TAP approach to intensive and extensive connectivity systems

    Kabashima, Y. & Saad, D., Feb 2001, Advanced mean field methods: Theory and practice. Opper, M. & Saad, D. (eds.). Cambridge, US: MIT, p. 51-65 15 p. (Neural Information Processing).

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  • 2000

    40-Gbit/s dispersion-managed soliton transmission over 3000 km of standard fiber through optimization of the dispersion map parameters

    Govan, D. S., Turitsyn, S. K. & Doran, N. J., 2000, Pacific Rim Conference on Lasers and Electro-Optics, CLEO - Technical Digest. Piscataway, NJ, United States: IEEE, p. 238-239 2 p.

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  • 1999

    A Bayesian approach to on-line learning

    Opper, M. & Winther, O., Jan 1999, On-line learning in neural networks. Saad, D. (ed.). Cambridge: Cambridge University Press, p. 363-378 16 p. (Publications of the Newton Institute; vol. 17).

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  • Incorporating curvature information into on-line learning

    Rattray, M. & Saad, D., Jan 1999, On-line learning in neural networks. Saad, D. (ed.). Isaac Newton Institute, Cambridge: Cambridge University Press, p. 183-207 25 p. (Publications of the Newton Institute).

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  • Modelling financial time series with switching state space models

    Azzouzi, M. & Nabney, I. T., 1999, Proceedings of the IEEE/IAFE 1999 Conference on Computational Intelligence for Financial Engineering. Port Jefferson, NY: IEEE, p. 240-249 10 p.

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  • Natural gradient matrix momentum

    Scarpetta, S., Rattray, M. & Saad, D., 7 Sep 1999, Ninth International Conference on Artificial Neural Networks, ICANN 99. Edinburgh UK: IEEE, Vol. 1. p. 43-48 6 p. (Conference Publication; vol. 470).

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  • Simple Gallager codes for BSC

    Kabashima, Y. & Saad, D., Jun 1999, Proceedings of the international workshop on soft computing in industry '99. IEEE, p. 136-140 5 p.

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  • The belief in TAP

    Kabashima, Y. & Saad, D., Jun 1999, Advances in Neural Information Processing Systems 11. Kearns, M. J., Solla, S. A. & Cohn, D. (eds.). Cambridge MA: MIT, Vol. 11. p. 246-252 7 p. (Proceeding of the 1998 Conference).

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  • Time delay estimation with hidden Markov models

    Azzouzi, M. & Nabney, I. T., 1999, Ninth International Conference on Artificial Neural Networks, 1999 (ICANN). Edinburgh, UK: IEEE, Vol. 1. p. 473-478 6 p.

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  • 1998

    Analysing time series structure with hidden Markov models

    Azzouzi, M. & Nabney, I. T., 2 Sep 1998, Proceedings of the 1998 IEEE Signal Processing Society Workshop, Neural Networks for Signal Processing VIII, 1998. Constantinides, T., Kung, S. Y., Niranjan, M. & Wilson, E. (eds.). Cambridge, UK: IEEE, Vol. 8. p. 402-408 7 p. (Proceedings of the 1998 IEEE Signal Processing Society Workshop).

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  • The dynamics of matrix momentum

    Rattray, M. & Saad, D., 1 Sep 1998, Proceedings of the 8th International Conference on Artificial Neural Networks. Niklasson, L. F., Boden, M. B. & Ziemke, T. (eds.). Springer, Vol. 1. p. 183-188 6 p.

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  • Towards a framework for combining stochastic and deterministic descriptions of nonstationary financial time series

    Lesch, R. H. & Lowe, D., 2 Sep 1998, Proceedings of the 1998 IEEE Signal Processing Society Workshop Neural Networks for Signal Processing VIII, 1998. Constantinides, T., Kung, S. Y., Niranjan, M. & Wilson, E. (eds.). Cambridge, UK: IEEE, Vol. 8. p. 587-596 10 p. (Proceedings of the 1998 IEEE Signal Processing Society Workshop).

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  • Transients and asymptotics of natural gradient learning

    Rattray, M. & Saad, D., 1 Sep 1998, Proceedings of the 8th International Conference on Artificial Neural Networks. Niklasson, L., Boden, M. & Ziemke, T. (eds.). Springer, Vol. 1. p. 165-170 6 p.

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  • 1997

    Capacity of the upstart algorithm

    West, A. H. L. & Saad, D., 1997, Mathematics of Neural Networks: Models, Algorithms and Applications. Ellacott, S. W., Mason, J. C. & Anderson, I. J. (eds.). Oxford: Kluwer, p. 372-378 7 p.

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  • On-line learning in multilayer neural networks

    Saad, D. & Solla, S. A., 1997, Proceedings of the first international conference on mathematics of neural networks : models, algorithms and applications: models, algorithms and applications. Oxford: Kluwer

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  • Practical assessment of neural network applications

    Nabney, I. T., Paven, M. J. S., Eldridge, R. C. & Lee, C., 1997, SafeComp 97: Proceedings of the 16th International Conference on Computing Safety, Reliability and Security. Daniel, P. (ed.). London: Springer, p. 357-368 12 p.

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  • 1996

    Adaptive back-propagation in on-line learning of multilayer networks

    West, A. H. L. & Saad, D., 1996, Proceedings of the neural information processing systems. Touretzky, D. S., Mozer, M. C. & Hasselmo, M. E. (eds.). Boston: MIT, Vol. 8.

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  • Tracking of non-stationary time-series using resource allocating RBF networks

    McLachlan, A. & Lowe, D., 10 Apr 1996, EMCSR 1996 13th European meeting on cybernetics and systems research: April 9-12 1996 at the University of Vienna, Austria. Trappl, R. (ed.). Vienna: Austrian Society for Cybernetic Studies, p. 1066-1071 6 p.

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  • 1995

    A novel neural network technique for exploratory data analysis

    Lowe, D. & Tipping, M. E., 1995, Proceedings of International Conference on Artificial Neural Networks '95. Paris: EC2 et Cie, Vol. 1. p. 339-344 6 p.

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  • Modelling conditional probability distributions for periodic variables

    Nabney, I. T., Bishop, C. M. & Legleye, C., 26 Jun 1995, Fourth International Conference on Artificial Neural Networks. IEEE, Vol. 4. p. 177-182 6 p.

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  • Modelling conditional probability distributions for periodic variables

    Nabney, I. T. & Bishop, C. M., 1995, Proceedings International Conference on Artificial Neural Networks ICANN'95. Fougelman-Soulie, F. & Gallinari, P. (eds.). Paris (FR): EC2 et Cie, Vol. 2. p. 209-214 6 p.

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  • Modelling of non-stationary processes using radial basis function networks

    Lowe, D. & McLachlan, A., 26 Jun 1995, Proceedings of the 4th IEE International Conference on Artificial Neural Networks. Cambridge: IEEE, p. 300-305 6 p.

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  • 1991

    Rule induction for data exploration

    Nabney, I. T. & Grasl, O., 1991, Proceedings of Avignon 91: Expert systems and their applications. EC2 et Cie, Vol. 1. p. 329-341 13 p.

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