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2005

Conference Publication

An empirical study of Hoelfding Racing for model selction in K-nearest neighbor classification

Yeh, Y. and Gallagher, M. R. (2005). An empirical study of Hoelfding Racing for model selction in K-nearest neighbor classification. Intelligent Data Engineering and Automated Learning - IDEAL205, Brisbane, Australia, 6-8 July, 2005. Berlin, Germany: Springer. doi: 10.1007/11508069_29

An empirical study of Hoelfding Racing for model selction in K-nearest neighbor classification

2005

Conference Publication

A hybrid approach to parameter tuning in genetic algorithms

Yuan, B. and Gallagher, M. R. (2005). A hybrid approach to parameter tuning in genetic algorithms. 2005 IEEE Congress on Evolutionary Computation (IEEE CEC 2005), Edinburgh, Scotland, 2-5 September 2005. U.S.A.: IEEE.

A hybrid approach to parameter tuning in genetic algorithms

2005

Conference Publication

MRI magnet design: Search space analysis, EDAs and a real-world problem with significant dependencies

Yuan, B., Gallagher, M. R. and Crozier, S. (2005). MRI magnet design: Search space analysis, EDAs and a real-world problem with significant dependencies. 7th Annual Genetic and Evolutionary Computation Conference - GELCCO 2005, Washington DC, USA, 25-29 June, 2005. New York, USA: ACM Press. doi: 10.1145/1068009.1068362

MRI magnet design: Search space analysis, EDAs and a real-world problem with significant dependencies

2005

Journal Article

Population-based continuous optimization, probabilistic modelling and mean shift

Gallagher, M. and Frean, M. (2005). Population-based continuous optimization, probabilistic modelling and mean shift. Evolutionary Computation, 13 (1), 29-42. doi: 10.1162/1063656053583478

Population-based continuous optimization, probabilistic modelling and mean shift

2005

Other Outputs

Perceptron

Gallagher, M. R. (2005). Perceptron.

Perceptron

2005

Journal Article

Applying machine learning to catalogue matching in astrophysics

Rohde, D. J., Drinkwater, M. J., Gallagher, M. R., Downs, T. and Doyle, M. T. (2005). Applying machine learning to catalogue matching in astrophysics. Monthly Notices of The Royal Astronomical Society, 360 (1), 69-75. doi: 10.1111/j.1365-2966.2005.08930.x

Applying machine learning to catalogue matching in astrophysics

2005

Conference Publication

Experimental results for the special session on real-parameter optimization at CEC 2005: A Simple, Continuous EDA

Yuan, B. and Gallagher, M. R. (2005). Experimental results for the special session on real-parameter optimization at CEC 2005: A Simple, Continuous EDA. 2005 IEEE Congress on Evolutionary Computation (IEEE CEC 2005), Edinburgh, Scotland, 2-5 September, 2005. U.S.A.: IEEE.

Experimental results for the special session on real-parameter optimization at CEC 2005: A Simple, Continuous EDA

2005

Conference Publication

On the importance of diversity maintenance in estimation of distribution algorithms

Yuan, B. and Gallagher, M. R. (2005). On the importance of diversity maintenance in estimation of distribution algorithms. 7th Annual Genetic and Evolutionary Computation Conference GECCO 2005, Washington DC, USA, 25-29 June, 2005. New York, USA: ACM Press. doi: 10.1145/1068009.1068129

On the importance of diversity maintenance in estimation of distribution algorithms

2004

Journal Article

Statistical racing techniques for improved empirical evaluation of evolutionary algorithms

Yuan, Bo and Gallagher, Marcus (2004). Statistical racing techniques for improved empirical evaluation of evolutionary algorithms. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3242, 172-181.

Statistical racing techniques for improved empirical evaluation of evolutionary algorithms

2004

Journal Article

Machine learning for matching astronomy catalogues

Rohde, David, Drinkwater, Michael, Gallagher, Marcus, Downs, Tom and Doyle, Marianne (2004). Machine learning for matching astronomy catalogues. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3177, 702-707.

Machine learning for matching astronomy catalogues

2004

Conference Publication

Statistical racing techniques for improved empirical evaluation of evolutionary algorithms

Yuan, B. and Gallagher, M. R. (2004). Statistical racing techniques for improved empirical evaluation of evolutionary algorithms. The Eighth International Conference on Parallel Problem Solving from Nature, Birmingham, U.K., 18-22 September 2004. Berlin: Springer-Verlag.

Statistical racing techniques for improved empirical evaluation of evolutionary algorithms

2004

Conference Publication

Machine learning for matching astronomy catalogues

Rohde, D. J., Drinkwater, M. J., Gallagher, M. R., Downs, T. and Doyle, M. T. (2004). Machine learning for matching astronomy catalogues. The Fifth International Intelligent Data Engineering and Automated Learning Conference (IDEAL 2004), Exeter, U.K., 25-27 August 2004. Berlin, Germany: Springer.

Machine learning for matching astronomy catalogues

2003

Conference Publication

Playing in continuous spaces: Some analysis and extension of population-based incremental learning

Yuan, B. and Gallagher, M. R. (2003). Playing in continuous spaces: Some analysis and extension of population-based incremental learning. 2003 Congress on Evolutionary Computation (CEC '03), Canberra, Australia, 8-12 December 2003. Piscataway, NJ, U.S.A.: The Institute of Electrical and Electronics Engineers. doi: 10.1109/CEC.2003.1299609

Playing in continuous spaces: Some analysis and extension of population-based incremental learning

2003

Conference Publication

Blind separation of noisy mixtures using the SAND algorithm

Leong, W. Y., Homer, J. P. and Gallagher, M. R. (2003). Blind separation of noisy mixtures using the SAND algorithm. The Seventh International Symposium on DSP for Communication System and the Second Workshop on the Internet, Telecommunication and Signal Processing, Coolangatta, 8-11 Decmber, 2003. Wollongong: The University of Wollongong.

Blind separation of noisy mixtures using the SAND algorithm

2003

Journal Article

Visualization of learning in multilayer perceptron networks using principal component analysis

Gallagher, M. R. and Downs, T. (2003). Visualization of learning in multilayer perceptron networks using principal component analysis. IEEE transactions on systems, man and cybernetics. Part B, Cybernetics Part B-cybernetics, 33 (1), 28-34. doi: 10.1109/TSMCB.2003.808183

Visualization of learning in multilayer perceptron networks using principal component analysis

2003

Conference Publication

On building a principled framework for evaluating and testing evolutionary algorithms: A continuous landscape generator

Yuan, B. and Gallagher, M. R. (2003). On building a principled framework for evaluating and testing evolutionary algorithms: A continuous landscape generator. The 2003 Congress on Evolutionary Computation (CEC '03), Canberra, Australia, 8-12 December 2003. Piscataway, NJ, U.S.A.: The Institute of Electrical and Electronics Engineers. doi: 10.1109/CEC.2003.1299610

On building a principled framework for evaluating and testing evolutionary algorithms: A continuous landscape generator

2003

Conference Publication

Learning to play Pac-Man: An evolutionary, rule-based approach

Gallagher, M. R. and Ryan, A. J. (2003). Learning to play Pac-Man: An evolutionary, rule-based approach. The 2003 Congress on Evolutionary Computation (CEC 2003), Canberra, Australia, 8-12 December 2003. Piscataway, NJ, U.S.A.: The Institute of Electrical and Electronics Engineers. doi: 10.1109/CEC.2003.1299397

Learning to play Pac-Man: An evolutionary, rule-based approach

2002

Journal Article

Empirical evidence for ultrametric structure in multi-layer perceptron error surfaces

Gallagher, Marcus, Downs, Tom and Wood, Ian (2002). Empirical evidence for ultrametric structure in multi-layer perceptron error surfaces. Neural Processing Letters, 16 (2), 177-186. doi: 10.1023/A:1019956303894

Empirical evidence for ultrametric structure in multi-layer perceptron error surfaces

2002

Conference Publication

Neural networks and the classification of mineralogical samples using x-ray spectra

Gallagher, M. R. and Deacon, P. (2002). Neural networks and the classification of mineralogical samples using x-ray spectra. Ninth International Conference on Neural Information Processing, Singapore, 18-22 November, 2002. Piscataway, NJ: The Institute of Electrical and Electronics Engineers. doi: 10.1109/ICONIP.2002.1201983

Neural networks and the classification of mineralogical samples using x-ray spectra

2001

Conference Publication

Fitness distance correlation of neural network error surfaces: A scalable, continuous optimization problem

Gallagher, M. R. (2001). Fitness distance correlation of neural network error surfaces: A scalable, continuous optimization problem. Twelfth European Conference on Machine Learning, Freiburg, Germany, 3-7 September, 2001. Berlin: Springer-Verlag.

Fitness distance correlation of neural network error surfaces: A scalable, continuous optimization problem