- A Hybrid Approach to Parameter Tuning in Genetic Algorithms School of Information Technology and
- Realvalued Evolutionary Optimization using a Flexible Probability Density Estimator \Lambda
- Black-Box Optimization Benchmarking: Results for the BayEDAcG Algorithm on the Noiseless Function Testbed
- Learning to Play Pac-Man: An Evolutionary, Rule-based Approach Marcus Gallagher
- Population-Based Continuous Optimization and Probabilistic Modelling
- Empirical Evidence for Ultrametric Structure in Multilayer Perceptron Error Marcus Gallagher (marcusg@csee.uq.edu.au) (contact author for correspondence and
- 590 IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, VOL. 10, NO. 5, OCTOBER 2006 A General-Purpose Tunable Landscape Generator
- Multilayer Perceptron Error Surfaces: Visualization, Structure and Modelling
- Statistical Racing Techniques for Improved Empirical Evaluation of Evolutionary Algorithms
- NEURAL NETWORKS AND THE CLASSIFICATION OF MINERALOGICAL SAMPLES USING X-RAY SPECTRA
- Visualization of Learning in Neural Networks Using Principal Component Analysis
- Weight Space Learning Trajectory Visualization Marcus Gallagher \Lambda and Tom Downs
- A Comparison of Sequence Kernels for Localization Prediction of Transmembrane Proteins
- Convergence Analysis of UMDAC with Finite Populations: A Case Study on Flat Landscapes
- Evolving Pac-Man Players: Can We Learn from Raw Input? Marcus Gallagher and Mark Ledwich
- An Empirical Study of Hoeffding Racing for Model Selection in k-Nearest Neighbor Classification
- Fitness Distance Correlation of Neural Network Error Surfaces: A Scalable, Continuous
- On Ultrametricity in Feedforward Neural Network Error Marcus Gallagher \Lambda and Tom Downs
- MRI Magnet Design: Search Space Analysis, EDAs and a Real-World Problem with Significant Dependencies
- Black-Box Optimization Benchmarking: Results for the BayEDAcG Algorithm on the Noisy Function Testbed
- Bayesian Inference in Estimation of Distribution Algorithms (Corrected Version of CEC'07 paper: September 2008)
- Combining Meta-EAs and Racing for Difficult EA Parameter Tuning Tasks
- A Mathematical Modelling Technique for the Analysis of the Dynamics of a Simple Continuous EDA
- On the Importance of Diversity Maintenance in Estimation of Distribution Algorithms
- On Building a Principled Framework for Evaluating and Testing Evolutionary Algorithms: A Continuous Landscape Generator
- Playing in Continuous Spaces: Some Analysis and Extension of Population-Based Incremental Learning
- Multi-layer Perceptron Error Surfaces: Visualization, Structure and Modelling
- AN EMPIRICAL INVESTIGATION OF THE USERPARAMETERS AND PERFORMANCE OF
- Experimental Results for the Special Session on Real-Parameter Optimization at CEC 2005: A Simple, Continuous EDA
- Ultrametric Structure in Autoencoder Error Surfaces
- Visualization of Learning in Multilayer Perceptron Networks Marcus Gallagher, Tom Downs
- Unsupervised DRG Upcoding Detection in Healthcare Databases Wei Luo and Marcus Gallagher
- IEEE TRANSACTIONS ON COMPUTATIONAL INTELLIGENCE AND AI IN GAMES, VOL. 3, NO. 1, MARCH 2011 43 Reinforcement Learning in First Person
- Faster and Parameter-Free Discord Search in Quasi-Periodic Time Series
- Using Gaussian Process with Test Rejection to Detect T-Cell Epitopes in Pathogen Genomes
- When Does Dependency Modelling Help? Using a Randomized Landscape Generator to Compare
