Parallel data mining-case study
(2010)
Report
Tekiner, F., Pettipher, M., Bull, L., Studley, M., Whittley, I., & Bagnall, T. (2010). Parallel data mining-case study
Outputs (23)
Unorganised machines in learning classifier systems (2008)
Report
Bull, L. (2008). Unorganised machines in learning classifier systemsLearning Classifier Systems Group Technical Report - UWELCSG08-004
A brief note on discrete dynamical learning classifier systems (2008)
Report
Bull, L. (2008). A brief note on discrete dynamical learning classifier systems
Non-linear media based computers: chemical and neuronal networks through machine learning (2008)
Report
Bull, L., Adamatzky, A., de Lacy Costello, B., Husbands, P., O’Shea, M., Purcell, W., & Taylor, A. (2008). Non-linear media based computers: chemical and neuronal networks through machine learningThere is growing interest in research into the development of hybrid wetware-silicon devices focused on exploiting their potential for 'non-linear computing'. The aim is to harness the as yet only partially understood intricate dynamics of non-linear... Read More about Non-linear media based computers: chemical and neuronal networks through machine learning.
Consideration of using learning classifier systems to create a simple neuronal computer (2008)
Report
Bull, L., & Uroukov, I. S. (2008). Consideration of using learning classifier systems to create a simple neuronal computerUWE Learning Classifier Systems Group Technical Report – UWELCSG07-003
A new hybrid architecture for the discovery and compaction of knowledge from breast cancer datasets (2008)
Report
Kharbat, F., Odeh, M., & Bull, L. (2008). A new hybrid architecture for the discovery and compaction of knowledge from breast cancer datasets
The emergence of glider guns in cellular automata found by evolutionary algorithms (2008)
Report
Sapin, E., & Bull, L. (2008). The emergence of glider guns in cellular automata found by evolutionary algorithms
Clustering With XCS (2008)
Report
Tamee, K., & Bull, L. (2008). Clustering With XCS
Spherical conditions with XCSc (2008)
Report
Tamee, K., Bull, L., & Pinngern, O. (2008). Spherical conditions with XCSc
Towards canonical learning classifier systems: Simple accuracy, payoff and anticipatory systems (2007)
Report
Bull, L. (2007). Towards canonical learning classifier systems: Simple accuracy, payoff and anticipatory systems
Comparing XCS and ZCS on noisy continuous valued environments (2005)
Report
Stone, C., & Bull, L. (2005). Comparing XCS and ZCS on noisy continuous valued environments
Prediction calculation in accuracy-based neural learning classifier systems (2004)
Report
O'Hara, T., & Bull, L. (2004). Prediction calculation in accuracy-based neural learning classifier systems
Applying XCSR to Design-Oriented Environments (2004)
Report
Wyatt, D., Bull, L., & Parmee, I. C. (2004). Applying XCSR to Design-Oriented Environments
A note on crossover with interval representations (2003)
Report
Stone, C., & Bull, L. (2003). A note on crossover with interval representations
Investigating fitness sharing in a simple payoff-based learning classifier system (2003)
Report
Bull, L. (2003). Investigating fitness sharing in a simple payoff-based learning classifier system
A simple accuracy-based learning classifier system (2003)
Report
Bull, L. (2003). A simple accuracy-based learning classifier system
Lookahead and latent learning in a neural learning classifier system with self-adaptive constructivism (2003)
Report
Bull, L., & Hurst, J. (2003). Lookahead and latent learning in a neural learning classifier system with self-adaptive constructivism
On simplifying the payoff prediction in accuracy-based learning classifier system (2003)
Report
Bull, L., & Wyatt, D. (2003). On simplifying the payoff prediction in accuracy-based learning classifier system
Robotic experimentation using constructivism within a neural learning classifier system (2003)
Report
Hurst, J., & Bull, L. (2003). Robotic experimentation using constructivism within a neural learning classifier system
ZCS and TCS learning classifier system controllers on real robots (2002)
Report
Hurst, J., Bull, L., & Melhuish, C. (2002). ZCS and TCS learning classifier system controllers on real robots
ZCS: Theory and practice: UWE Learning Classifier Systems Group Technical Report 01 (2001)
Report
Bull, L., & Hurst, J. (2001). ZCS: Theory and practice: UWE Learning Classifier Systems Group Technical Report 01
An accuracy-based neural classifier system (2001)
Report
Bull, L., & O’Hara, T. (2001). An accuracy-based neural classifier systemLearning Classifier Systems have traditionally used a binary representation, with wildcards added to facilitate generalization. As they are applied to more complex domains the simple representation can become limiting. In this paper we present result... Read More about An accuracy-based neural classifier system.
Self-adaptation in learning classifier systems (2000)
Report
Hurst, J., & Bull, L. (2000). Self-adaptation in learning classifier systems