Publications of Alistair Shilton

2007 Publications

A. Shilton, D. Lai and M. Palaniswami, "Division Algebraic Support Vector Regression," under review, IEEE Transactions of Neural Networks, 2007.

Shilton, A. and Lai, D. - Quaternionic and complex-valued Support Vector Regression for Equalization and Function Approximation, in Proc. of the International Joint conference on Neural Networks, Orlando, Florida, USA, August 12-17, 2007.

Sophia Kaplantzis, Alistair Shilton, Nallasamy Mani and Y. Ahmet Şekercioğlu - Detecting Selective Forwarding Attacks in Wireless Sensor Networks Using Support Vector Machines. 2007 Proceedings of the 3rd International Symposium on Intelligent Sensors, Sensor Networks and Information Processing - ISSNIP 2007, pp. 335 - 340, Melbourne, Australia.

Jayavardhana Gubbi, Alistair Shilton, Marimuthu Palaniswami, Kernel Methods for Protein Structure prediction, In Y. Zhang and J. Rajapakse, editors, Machine Learning in Bioinformatics, Wiley, In Press, 2007.

M. Palaniswami, Bharat Sundaram, Jayavardhana Rama G. L. and Alistair Shilton, Target Localization using Machine Learning (Invited Paper). Informatics in Control, Automation and Robotics II, Part 1, pp. 27-33, Springer Verlag, 2007.

Jayavardhana Gubbi, Alistair Shilton, Michael Parker, Palaniswami M. - Real Value Solvent Accessibility Prediction using Adaptive Support Vector Regression. 2007 Proceeding of IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology - CIBCB 2007, pp. 395-401, IEEE Press, 2007.

Shilton, Alistair - Mercer's Theorem for Quaternionic Kernels, technical report number TR07-009, Department of Electrical and Electronic Engineering, The University of Melbourne.

Shilton, A. and Lai, D. - Iterative Fuzzy Support Vector Machine Classification, in Proc. of the IEEE conference on Fuzzy Systems, London, England, July 23-26, 2007.

2006 Publications

Shilton, Alistair - PhD Thesis: Design and Training of Support Vector Machines.

Bharat Sundaram and Palaniswami, M. and Shilton, Alistair. and Rezaul Begg - "Computational Intelligence Techniques", book chapter, Computational Intelligence for Movement Sciences: Neural Networks and other Emerging Techniques, Ed. Begg RK & Palaniswami M. IGI Publishing, USA. 396 pages, ISBN: 1-59140-836-9. 2006.

Jayavardhana Gubbi and Shilton, Alistair and Parker, Michael and Marimuthu Palaniswami - Protein Topology Classification using Two-Stage Support Vector Machines, Genome Informatics Vol.17, No.2, pp. 259-269.

2005 Publications


Shilton, A. and Palaniswami, M. and Ralph, D. and Tsoi, A. C. - Incremental Training of Support Vector Machines, IEEE transactions on Neural Networks, vol. 16, no. 1, page 114-131, Jan 2005.

Lai, D. and Shilton, A. and Mani, N. and Palaniswami, M. - A convergence rate estimate for the SVM Decomposition Method in Proc. of the International Joint conference on Neural Networks, Montreal, Canada, August 1-4, 2005, page 931-936.

Jayavardhana Rama G. L. and Shilton, Alistair and Parker, Micheal and Palaniswami, Marimuthu - Prediction of Cysteine Connectivity using SVM Bioinformation, vol. 1, no. 2, page 69-74, 2005 (winner of the best paper award, 2005, for the Bioinformation journal).

Jayavardhana Rama G. L. and Shilton, Alistair and Parker, Micheal M. and Palaniswami, M - Disulphide Bridge Prediction using Fuzzy Support Vector Machines in Proc. of the International Conference on Intelligent Sensing and Information Processing, Bangalore, India 2005.

Lai, D. and Shilton, A. and Mani, N. and Palaniswami, M. - Stability Analysis of the Decomposition Method for solving Support Vector Machines in Proc. of the 2nd International Conference on Intelligent Sensing and Information Processing, pp Bangalore, India 2005, page 272 -- 277.

Shilton, A. and Lai, D. and Palaniswami, M. - A monomial ν-SV method for regression technical report number MECSE-24-2005, Department of Electrical and Computer Systems Engineering, Monash University.

2004 Publications

Shilton, A. and Palaniswami, M.- Modified ν-SV Method for Simplified Regression, in Proc. of the International Conference on Intelligent Sensing and Information Processing, published by the IEEE, page 422-427, Jan 4-7, Chennai, India, 2004.

2003 Publications

2002 Publications

Palaniswami, M. and Shilton, A. - Adaptive Support Vector Machines for Regression, (Invited paper), Proc. of the 9th International Conference on Neural Information processing, Singapore, Nov. 18-22, 2002.


Challa, S. and Palaniswami, M. and Shilton, A. - Distributed Data Fusion System Using Support Vector Machine, FUSION2002, Annapolis, USA, July 2002 (note: due to a misunderstanding between the authors of this paper, use of the software package Higher-Order Primal-Dual Method, HOPDM (http://www.maths.ed.ac.uk/~gondzio/software/hopdm.html), was not properly acknowledged in the paper. This notice acknowledges this lapse. The following citations should also have been included in this paper:
- Gondzio J., Implementing Cholesky Factorization for Interior Point Methods of Linear Programming, Optimization 27(1993) 121-140
- Gondzio J., Presolve Analysis of Linear Programs Prior to Applying an Interior Point Method, INFORMS Journal on Computing 9, Winter 1997, 73-91
- Gondzio J., Multiple Centrality Corrections in a Primal-Dual Method for Linear Programming, Computational Optimization and Applications 6(1996) 137-156
- Gondzio J., HOPDM (version 2.12) - A Fast LP Solver Based On a Primal-Dual Interior Point Method, European Journal of Operational Research 85(1995) 221-225.
- Gondzio J., Warm Start of the Primal-Dual Method Applied in the Cutting-Plane Scheme, Mathematical Programming 83(1998) 125-143
- Altman A. and J. Gondzio, Regularised Symmetric Indefinite Systems in Interior Point Methods for Linear and Quadratic Optimization, Optimization Methods and Software 11-12(1999) 275-302

2001 Publications

Shilton, A. and Palaniswami, M. and Ralph, D. and Tsoi, A.C. - Incremental Training in Support Vector Machines, in Proc. of the International Joint conference on Neural Networks, Washington DC, USA, July 2001.

2000 Publications

Palaniswami, M. and Shilton, A. and Ralph, D. and Owen B. - Machine learning using support vector machines, International conference on Artificial Intelligence in Science and Technology, Hobart, Australia, December 2000 (Keynote Talk Paper).


B,

Valid HTML 4.01!