All Stories

  1. Score-mediated mutual consent and indirect reciprocity

    Article • Proceedings of the National Academy of Sciences, May 2023, Proceedings of the National Academy of Sciences

    Dr Marcus R. Frean

  2. A divide-and-conquer approach for content replication in WMNs

    Article • Computer Networks, December 2013, Elsevier

    Dr Marcus R. Frean

  3. Trading off salience and uncertainty in sampling a visual scene

    Article • November 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Marcus R. Frean

  4. The effect of population structure on the rate of evolution

    Article • Proceedings of the Royal Society B Biological Sciences, May 2013, Royal Society Publishing

    Dr Marcus R. Frean

  5. Soft resampling for improved information retention in particle filtering

    Article • May 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Marcus R. Frean

  6. On the issue of separability for problem decomposition in cooperative neuro-evolution

    Article • Neurocomputing, June 2012, Elsevier

    Dr Marcus R. Frean

  7. Gaussian process dynamical models for nonparametric speech representation and synthesis

    Article • March 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Marcus R. Frean

  8. Latent Dirichlet allocation for image segmentation and source finding in radio astronomy images

    Article • January 2012, ACM (Association for Computing Machinery)

    Dr Marcus R. Frean

  9. A novel distributed content replication and placement scheme for Wireless Mesh Networks

    Article • November 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Marcus R. Frean

  10. Affording cooperative populations

    Article • Religion Brain & Behavior, February 2011, Taylor & Francis

    Dr Marcus R. Frean

  11. The Evolution of Charismatic Cultures

    Article • Method & Theory in the Study of Religion, January 2010, Brill

    Dr Marcus R. Frean

  12. Using Gaussian Processes to Optimize Expensive Functions

    Article • January 2008, Springer Science + Business Media

    Dr Marcus R. Frean

  13. Understanding the shape of Java software

    Article • ACM SIGPLAN Notices, October 2006, ACM (Association for Computing Machinery)

    Dr Marcus R. Frean

  14. IMPLEMENTING GAUSSIAN PROCESS INFERENCE WITH NEURAL NETWORKS

    Article • International Journal of Neural Systems, October 2006, World Scientific Pub Co Pte Lt

    Dr Marcus R. Frean

  15. Connectionist Architectures: Optimization

    Article • January 2006, Wiley

    Dr Marcus R. Frean

  16. Understanding the shape of Java software

    Article • January 2006, ACM (Association for Computing Machinery)

    Dr Marcus R. Frean

  17. Scale-free geometry in OO programs

    Article • Communications of the ACM, May 2005, ACM (Association for Computing Machinery)

    Dr Marcus R. Frean

  18. Population-Based Continuous Optimization, Probabilistic Modelling and Mean Shift

    Article • Evolutionary Computation, March 2005, The MIT Press

    Dr Marcus R. Frean

  19. Neural Networks: A Replacement for Gaussian Processes?

    Article • January 2005, Springer Science + Business Media

    Dr Marcus R. Frean

  20. Adaptation and enslavement in endosymbiont-host associations

    Article • Physical Review E, May 2004, American Physical Society (APS)

    Dr Marcus R. Frean

  21. Rock-scissors-paper and the survival of the weakest

    Article • Proceedings of the Royal Society B Biological Sciences, July 2001, Royal Society Publishing

    Dr Marcus R. Frean

  22. Catastrophic forgetting in simple networks: an analysis of the pseudorehearsal solution

    Article • Network Computation in Neural Systems, August 1999, Taylor & Francis

    Dr Marcus R. Frean

  23. The Evolution of Degrees of Cooperation

    Article • Journal of Theoretical Biology, October 1996, Elsevier

    Dr Marcus R. Frean

  24. The Prisoner's Dilemma without Synchrony

    Article • Proceedings of the Royal Society B Biological Sciences, July 1994, Royal Society Publishing

    Dr Marcus R. Frean

  25. A "Thermal" Perceptron Learning Rule

    Article • Neural Computation, November 1992, The MIT Press

    Dr Marcus R. Frean

  26. The Upstart Algorithm: A Method for Constructing and Training Feedforward Neural Networks

    Article • Neural Computation, June 1990, The MIT Press

    Dr Marcus R. Frean

  27. Removal of observer variability from the determination of the volume of isoflow

    Article • Lung, December 1987, Springer Science + Business Media

    Dr Marcus R. Frean