Systems Analytics Research Institute (SARI)

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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.

    Research output: Chapter in Book/Published conference outputChapter

  • 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.

    Research output: Chapter in Book/Published conference outputChapter

  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • Transition in internally heated shear flows in a vertical channel

    Generalis, S. C. & Nagata, M., 23 Mar 2003, Proceedings of the Eurotherm 74 Seminar on Heat transfer in unsteady and transitional flows. CIP-Data Library Technische Universiteit Eindhoven, p. 117-122 6 p.

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  • Watermarking of audio signals using independent component analysis

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

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  • 2005

    Evaluating the effectiveness of Bayesian feature selection

    Nabney, I. T., Evans, D. J., Brule, Y. & Gordon, C., 2005, Applications of probabilistic modelling in medical informatics and bioinformatics. Dybowski, R., Husmeier, D. & Roberts, S. J. (eds.). Springer, p. 371-389 19 p. (Advanced information and knowledge processing).

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  • Prediction of paroxysmal atrial fibrillation

    Woodcock, D. & Nabney, I. T., 2005, Proceedings of the 2nd International Conference on Computational Intelligence in Medicine and Healthcare (CIMED2005). Plymouth: BIOPATTERN Network of Excellence, p. 376-382 7 p.

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  • Recursive self-organizing map as a contractive iterative function system

    Tiňo, P., Farkaš, I. & van Mourik, J., 20 Jun 2005, Intelligent Data Engineering and Automated Learning - IDEAL 2005. Gallagher, M., Hogan, J. & Maire, F. (eds.). Berlin (DE): Springer, p. 327-334 8 p. (Lecture Notes in Computer Science; vol. 3578).

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  • 2006

    Visual data mining: integrating machine learning with information visualization

    Maniyar, D. M. & Nabney, I. T., 20 Aug 2006, Workshop on Multimedia Data Mining “Merging Multimedia and Data Mining Research”. Zhang, Z., Masseglia, F., Jain, R. & Del Bimbo, A. (eds.). ACM, p. 143-152 10 p.

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  • Visual data mining using principled projection algorithms and information visualization techniques

    Maniyar, D. M. & Nabney, I. T., 16 Oct 2006, Proceedings of the Twelfth ACM SIGKDD international conference on knowledge discovery and data mining. New York (US): ACM, Vol. 2006. p. 643-648 6 p.

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  • 2007

    Visualizing the Analysis of Dynamically Adaptive Systems Using i* and DSLs

    Sawyer, P., Bencomo, N., Hughes, D., Grace, P., Goldsby, H. J. & Cheng, B. H. C., 2007, Requirements Engineering Visualization, 2007. REV 2007. Second International Workshop on. IEEE, p. 3 1 p.

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  • 2008

    165 km ultra-long Raman fibre laser in the C-band

    Karalekas, V., Kablukov, S. I., Harper, P., Ania-Castañón, J. D., Babin, S. A. & Turitsyn, S. K., 2008, 34th European Conference on Optical Communication, 2008. ECOC 2008. IEEE, Vol. 1.

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  • A truncated boundary integral based Newton-CG procedure for sound-soft shape reconstruction

    Johansson, B. T. & Sleeman, B. D., 2008, Spring conference of the Institute of Acoustics 2008: widening horizons in acoustics. Institute of Acoustics, p. 333-338 6 p. (Proceedings of the Institute of Acoustics Institute of Acoustics; vol. 30, no. 2).

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  • CFD for the Modelling of Entrainment in Fluidised Bed Fast Pyrolysis of Biomass

    Gerhauser, H., Generalis, S. C., Hague, R. A. & Bridgwater, A. V., 7 Apr 2008, Progress in Thermochemical Biomass Conversion. Bridgwater, A. V. (ed.). Wiley-Blackwell, p. 1281-1295 15 p.

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  • Combining the wavelet transform and forecasting models to predict gas forward prices

    Nguyen, H. T. & Nabney, I. T., 11 Dec 2008, Seventh International Conference on Machine Learning and Applications, 2008. ICMLA '08. IEEE, p. 311-317 7 p.

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  • Exchanging uncertainty: interoperable geostatistics?

    Williams, M., Cornford, D., Bastin, L. & Ingram, B. R., 2008, geoENV VII – Geostatistics for Environmental Applications. Springer, Vol. 16. p. 321-331 11 p.

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  • Parallel geostatistics for sparse and dense datasets

    Ingram, B. R. & Cornford, D., 2008, geoENV VII – Geostatistics for Environmental Applications. Springer, Vol. 16. p. 371-381 11 p.

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  • Pattern competition in homogeneously heated fluid layers

    Cartland Glover, G. & Generalis, S. C., May 2008, Eurotherm 2008: 5th European Thermal-Sciences Conference 18-22 May 2008. Stoffels, G. M. M., van der Meer, T. H. & van Steenhoven, A. A. (eds.). Eindhoven (NL): Eindhoven University of Technology, p. THP_18

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  • Projection and interpolation based techniques for structured and impulsive noise filtering

    Lamichhane, B. & Rebollo - Neira, L., 1 Oct 2008, New Signal Processing Research. Maeda, T. (ed.). Nova science, p. 127-158 32 p.

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  • Range of validity of weakly non-linear theory in Rayleigh-Bénard convection

    Generalis, S. C. & Fujimura, K., May 2008, Proceedings 5th European Thermal-Sciences Conference. Stoffels, G. G. M., van der Meer, T. H. & van Steenhoven, A. A. (eds.). Eindhoven (NL): Eindhoven University of Technology, p. NCV_2

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  • Reconstruction of acoustically sound-hard obstacles from the far field using a boundary integral equation method

    Ivanyshyn, O. & Johansson, B. T., 2008, Advanced topics in scattering and biomedical engineering: proceedings of the 8th international workshop on mathematical methods in scattering theory and biomedical engineering. Charalambopoulos, A., Fotiadis, D. I. & Polyzos, D. (eds.). London (UK): World Scientific, p. 47-56 10 p.

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  • The challenge of real-time automatic mapping for environmental monitoring network management

    Pebesma, E. J., Dubois, G. & Cornford, D., 11 Mar 2008, geoENV VI – Geostatistics for Environmental Applications Proceedings of the Sixth European Conference on Geostatistics for Environmental Applications. Springer, Vol. 15. p. 467-475 9 p.

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  • The influence of memory in a threshold model for distributed task assignment

    Goldingay, H. & van Mourik, J., 20 Oct 2008, SASO '08: 2008 Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems. Washington (US): IEEE, p. 117-126 10 p.

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