 | 2011 |
|---|
| 34 |       | Wei Luo,
Marcus Gallagher:
Faster and Parameter-Free Discord Search in Quasi-Periodic Time Series.
PAKDD (2) 2011: 135-148 |
| 33 | | Michelle McPartland,
Marcus Gallagher:
Reinforcement Learning in First Person Shooter Games.
IEEE Trans. Comput. Intellig. and AI in Games 3(1): 43-56 (2011) |
| 2010 |
|---|
| 32 | | Wei Luo,
Marcus Gallagher:
Unsupervised DRG Upcoding Detection in Healthcare Databases.
ICDM Workshops 2010: 600-605 |
| 31 | | Rachael Morgan,
Marcus Gallagher:
When Does Dependency Modelling Help? Using a Randomized Landscape Generator to Compare Algorithms in Terms of Problem Structure.
PPSN (1) 2010: 94-103 |
| 30 | | Liwen You,
Vladimir Brusic,
Marcus Gallagher,
Mikael Bodén:
Using Gaussian Process with Test Rejection to Detect T-Cell Epitopes in Pathogen Genomes.
IEEE/ACM Trans. Comput. Biology Bioinform. 7(4): 741-751 (2010) |
| 2009 |
|---|
| 29 | | Bo Yuan,
Marcus Gallagher:
An improved small-sample statistical test for comparing the success rates of evolutionary algorithms.
GECCO 2009: 1879-1880 |
| 28 | | Bo Yuan,
Marcus Gallagher:
Convergence analysis of UMDAC with finite populations: a case study on flat landscapes.
GECCO 2009: 477-482 |
| 27 | | Marcus Gallagher:
Black-box optimization benchmarking: results for the BayEDAcG algorithm on the noiseless function testbed.
GECCO (Companion) 2009: 2281-2286 |
| 2008 |
|---|
| 26 |  | Michelle McPartland,
Marcus Gallagher:
Learning to be a Bot: Reinforcement Learning in Shooter Games.
AIIDE 2008 |
| 25 | | Michelle McPartland,
Marcus Gallagher:
Creating a multi-purpose first person shooter bot with reinforcement learning.
CIG 2008: 143-150 |
| 24 | | Nathan Wirth,
Marcus Gallagher:
An influence map model for playing Ms. Pac-Man.
CIG 2008: 228-233 |
| 23 | | Flora Yu-Hui Yeh,
Marcus Gallagher:
An empirical study of the sample size variability of optimal active learning using Gaussian process regression.
IJCNN 2008: 3787-3794 |
| 2007 |
|---|
| 22 | | Stefan Maetschke,
Marcus Gallagher,
Mikael Bodén:
A Comparison of Sequence Kernels for Localization Prediction of Transmembrane Proteins.
CIBCB 2007: 367-372 |
| 21 | | Marcus Gallagher,
Mark Ledwich:
Evolving Pac-Man Players: Can We Learn from Raw Input?
CIG 2007: 282-287 |
| 20 | | Simon Connelly,
Peter A. Lindsay,
Marcus Gallagher:
An agent based approach to examining shared situation awareness.
ICECCS 2007: 138-147 |
| 19 | | Marcus Gallagher,
Ian Wood,
Jonathan M. Keith,
George Y. Sofronov:
Bayesian inference in estimation of distribution algorithms.
IEEE Congress on Evolutionary Computation 2007: 127-133 |
| 18 | | Bo Yuan,
Marcus Gallagher:
Combining Meta-EAs and Racing for Difficult EA Parameter Tuning Tasks.
Parameter Setting in Evolutionary Algorithms 2007: 121-142 |
| 2006 |
|---|
| 17 | | Marcus Gallagher,
Bo Yuan:
A Mathematical Modelling Technique for the Analysis of the Dynamics of a Simple Continuous EDA.
Theory of Evolutionary Algorithms 2006 |
| 16 | | Marcus Gallagher,
Bo Yuan:
A general-purpose tunable landscape generator.
IEEE Trans. Evolutionary Computation 10(5): 590-603 (2006) |
| 2005 |
|---|
| 15 | | Marcus Gallagher,
James M. Hogan,
Frédéric Maire:
Intelligent Data Engineering and Automated Learning - IDEAL 2005, 6th International Conference, Brisbane, Australia, July 6-8, 2005, Proceedings
Springer 2005 |
| 14 | | Bo Yuan,
Marcus Gallagher:
A hybrid approach to parameter tuning in genetic algorithms.
Congress on Evolutionary Computation 2005: 1096-1103 |
| 13 | | Bo Yuan,
Marcus Gallagher:
Experimental results for the special session on real-parameter optimization at CEC 2005: a simple, continuous EDA.
Congress on Evolutionary Computation 2005: 1792-1799 |
| 12 | | Bo Yuan,
Marcus Gallagher,
Stuart Crozier:
MRI magnet design: search space analysis, EDAs and a real-world problem with significant dependencies.
GECCO 2005: 2141-2148 |
| 11 | | Bo Yuan,
Marcus Gallagher:
On the importance of diversity maintenance in estimation of distribution algorithms.
GECCO 2005: 719-726 |
| 10 | | Flora Yu-Hui Yeh,
Marcus Gallagher:
An Empirical Study of Hoeffding Racing for Model Selection in k-Nearest Neighbor Classification.
IDEAL 2005: 220-227 |
| 9 | | Marcus Gallagher,
Marcus R. Frean:
Population-Based Continuous Optimization, Probabilistic Modelling and Mean Shift.
Evolutionary Computation 13(1): 29-42 (2005) |
| 2004 |
|---|
| 8 | | David Rohde,
Michael Drinkwater,
Marcus Gallagher,
Tom Downs,
Marianne Doyle:
Machine Learning for Matching Astronomy Catalogues.
IDEAL 2004: 702-707 |
| 7 | | Bo Yuan,
Marcus Gallagher:
Statistical Racing Techniques for Improved Empirical Evaluation of Evolutionary Algorithms.
PPSN 2004: 172-181 |
| 2003 |
|---|
| 6 | | Bo Yuan,
Marcus Gallagher:
Playing in continuous spaces: some analysis and extension of population-based incremental learning.
IEEE Congress on Evolutionary Computation (1) 2003: 443-450 |
| 5 | | Bo Yuan,
Marcus Gallagher:
On building a principled framework for evaluating and testing evolutionary algorithms: a continuous landscape generator.
IEEE Congress on Evolutionary Computation (1) 2003: 451-458 |
| 4 | | Marcus Gallagher,
Tom Downs:
Visualization of learning in multilayer perceptron networks using principal component analysis.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 33(1): 28-34 (2003) |
| 2002 |
|---|
| 3 | | Marcus Gallagher,
Tom Downs,
Ian Wood:
Empirical Evidence for Ultrametric Structure in Multi layer Perceptron Error Surfaces.
Neural Processing Letters 16(2): 177-186 (2002) |
| 2001 |
|---|
| 2 | | Marcus Gallagher:
Fitness Distance Correlation of Neural Network Error Surfaces: A Scalable, Continuous Optimization Problem.
ECML 2001: 157-166 |
| 1999 |
|---|
| 1 | | Marcus Gallagher,
Marcus R. Frean,
Tom Downs:
Real-valued Evolutionary Optimization using a Flexible Probability Density Estimator.
GECCO 1999: 840-846 |
Data released under the ODC-BY 1.0 license — See also our legal information page