Marcus Gallagher - researchr alias

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2011

Faster and Parameter-Free Discord Search in Quasi-Periodic Time SeriesWei Luo, Marcus Gallagher. pakdd 2011: 135-148 [doi]

Reinforcement Learning in First Person Shooter GamesMichelle McPartland, Marcus Gallagher. tciaig, 3(1):43-56, 2011. [doi]

2010

Unsupervised DRG Upcoding Detection in Healthcare DatabasesWei Luo, Marcus Gallagher. icdm 2010: 600-605 [doi]

When Does Dependency Modelling Help? Using a Randomized Landscape Generator to Compare Algorithms in Terms of Problem StructureRachael Morgan, Marcus Gallagher. ppsn 2010: 94-103 [doi]

Using Gaussian Process with Test Rejection to Detect T-Cell Epitopes in Pathogen GenomesLiwen You, Vladimir Brusic, Marcus Gallagher, Mikael Bodén. tcbb, 7(4):741-751, 2010. [doi]

2009

Black-box optimization benchmarking: results for the BayEDAcG algorithm on the noiseless function testbedMarcus Gallagher. gecco 2009: 2281-2286 [doi]

An improved small-sample statistical test for comparing the success rates of evolutionary algorithmsBo Yuan, Marcus Gallagher. gecco 2009: 1879-1880 [doi]

Convergence analysis of UMDA::C:: with finite populations: a case study on flat landscapesBo Yuan, Marcus Gallagher. gecco 2009: 477-482 [doi]

2008

Learning to be a Bot: Reinforcement Learning in Shooter GamesMichelle McPartland, Marcus Gallagher. aiide 2008:

An empirical study of the sample size variability of optimal active learning using Gaussian process regressionFlora Yu-Hui Yeh, Marcus Gallagher. ijcnn 2008: 3787-3794 [doi]

2007

An agent based approach to examining shared situation awarenessSimon Connelly, Peter A. Lindsay, Marcus Gallagher. iceccs 2007: 138-147 [doi]

Bayesian inference in estimation of distribution algorithmsMarcus Gallagher, Ian Wood, Jonathan Keith, George Sofronov. cec 2007: 127-133 [doi]

A Comparison of Sequence Kernels for Localization Prediction of Transmembrane ProteinsStefan Maetschke, Marcus Gallagher, Mikael Bodén. cibcb 2007: 367-372 [doi]

Combining Meta-EAs and Racing for Difficult EA Parameter Tuning TasksBo Yuan, Marcus Gallagher. In Fernando G. Lobo, Cláudio F. Lima, Zbigniew Michalewicz, editors, Parameter Setting in Evolutionary Algorithms. Volume 54 of Studies in Computational Intelligence, pages 121-142, Springer, 2007. [doi]

2006

A general-purpose tunable landscape generatorMarcus Gallagher, Bo Yuan. tec, 10(5):590-603, 2006. [doi]

A Mathematical Modelling Technique for the Analysis of the Dynamics of a Simple Continuous EDAMarcus Gallagher, Bo Yuan. dagstuhl 2006: [doi]

2005

Intelligent Data Engineering and Automated Learning - IDEAL 2005, 6th International Conference, Brisbane, Australia, July 6-8, 2005, ProceedingsMarcus Gallagher, James M. Hogan, Frédéric Maire, editors, Volume 3578 of Lecture Notes in Computer Science, Springer, 2005.

Population-Based Continuous Optimization, Probabilistic Modelling and Mean ShiftMarcus Gallagher, Marcus R. Frean. ec, 13(1):29-42, 2005. [doi]

An Empirical Study of Hoeffding Racing for Model Selection in k-Nearest Neighbor ClassificationFlora Yu-Hui Yeh, Marcus Gallagher. ideal 2005: 220-227 [doi]

On the importance of diversity maintenance in estimation of distribution algorithmsBo Yuan, Marcus Gallagher. gecco 2005: 719-726 [doi]

Experimental results for the special session on real-parameter optimization at CEC 2005: a simple, continuous EDABo Yuan, Marcus Gallagher. cec 2005: 1792-1799 [doi]

A hybrid approach to parameter tuning in genetic algorithmsBo Yuan, Marcus Gallagher. cec 2005: 1096-1103 [doi]

MRI magnet design: search space analysis, EDAs and a real-world problem with significant dependenciesBo Yuan, Marcus Gallagher, Stuart Crozier. gecco 2005: 2141-2148 [doi]

2004

Machine Learning for Matching Astronomy CataloguesDavid Rohde, Michael Drinkwater, Marcus Gallagher, Tom Downs, Marianne Doyle. ideal 2004: 702-707 [doi]

Statistical Racing Techniques for Improved Empirical Evaluation of Evolutionary AlgorithmsBo Yuan, Marcus Gallagher. ppsn 2004: 172-181 [doi]

2003

Visualization of learning in multilayer perceptron networks using principal component analysisMarcus Gallagher, Tom Downs. tsmc, 33(1):28-34, 2003.

On building a principled framework for evaluating and testing evolutionary algorithms: a continuous landscape generatorBo Yuan, Marcus Gallagher. cec 2003: 451-458 [doi]

Playing in continuous spaces: some analysis and extension of population-based incremental learningBo Yuan, Marcus Gallagher. cec 2003: 443-450 [doi]

2002

Empirical Evidence for Ultrametric Structure in Multi layer Perceptron Error SurfacesMarcus Gallagher, Tom Downs, Ian Wood. npl, 16(2):177-186, 2002.

2001

Fitness Distance Correlation of Neural Network Error Surfaces: A Scalable, Continuous Optimization ProblemMarcus Gallagher. ecml 2001: 157-166 [doi]

1999

Real-valued Evolutionary Optimization using a Flexible Probability Density EstimatorMarcus Gallagher, Marcus R. Frean, Tom Downs. gecco 1999: 840-846