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  • 2003

    The theory of on-line learning: a statistical physics approach

    Saad, D., 2003, Exploratory Data Analysis in Empirical Research: Proceedings of the 25th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Munich, March 14-16, 2001. Schwaiger, M. & Opit, O. (eds.). Springer, p. 300-309 10 p. (Studies in Classification, Data Analysis, and Knowledge Organization).

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  • Watermarking of audio signals using independent component analysis

    Toch, B., Lowe, D. & Saad, D., 17 Sept 2003, Proceedings of Third International Conference on Web Delivering of Music, 2003. IEEE, p. 71-74 4 p.

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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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  • 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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  • 1999

    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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  • Natural gradient matrix momentum

    Scarpetta, S., Rattray, M. & Saad, D., 7 Sept 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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  • 1998

    The dynamics of matrix momentum

    Rattray, M. & Saad, D., 1 Sept 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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  • Transients and asymptotics of natural gradient learning

    Rattray, M. & Saad, D., 1 Sept 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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  • 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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