Feature selection for heterogeneous ensembles of nearest neighbour classifiers using hybrid tabu search
(2008)
Book Chapter
Tahir, M., & Smith, J. (2008). Feature selection for heterogeneous ensembles of nearest neighbour classifiers using hybrid tabu search. In P. Siarry, & Z. Michalewicz (Eds.), Advances in Metaheuristics for Hard Optimization (69-85). Berlin, Heidelberg, New York: Springer
All Outputs (85)
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 clustering with learning classifier systems (2008)
Book Chapter
Tamee, K., Bull, L., & Pinngern, O. (2008). Towards clustering with learning classifier systems. In L. Bull, E. Bernadó-Mansilla, & J. Holmes (Eds.), Learning classifier systems in data mining (191-204). Springer
Clusters and switchers in globally coupled photochemical oscillators (2008)
Journal Article
Taylor, A., Kapetanopoulos, P., Whitaker, B., Toth, R., Bull, L., & Tinsley, M. (2008). Clusters and switchers in globally coupled photochemical oscillators. Physical Review Letters, 100(21), 214101
From utopian to genuine unconventional computers (2008)
Journal Article
Teuscher, C., & Adamatzky, A. (2008). From utopian to genuine unconventional computers. International Journal of Unconventional Computing, 4(1), 1-2
Dynamic control and information processing in the Belousov-Zhabotinsky reaction using a coevolutionary algorithm (2008)
Journal Article
Toth, R., Stone, C., Adamatzky, A., de Lacy Costello, B., & Bull, L. (2008). Dynamic control and information processing in the Belousov-Zhabotinsky reaction using a coevolutionary algorithm. Journal of Chemical Physics, 129, 184708. https://doi.org/10.1063/1.2932252
Unorganised machines in learning classifier systems (2008)
Report
Bull, L. (2008). Unorganised machines in learning classifier systemsLearning Classifier Systems Group Technical Report - UWELCSG08-004
Initial results from the use of evolutionary learning to control chemical computers (2008)
Journal Article
Budd, A., Stone, C., Masere, J., Adamatzky, A., de Lacy Costello, B., & Bull, L. (2008). Initial results from the use of evolutionary learning to control chemical computers. International Journal of Unconventional Computing, 4(1), 13-22The behaviour of pulses of Belousov-Zhabotinski (BZ) reaction diffusion waves can be controlled automatically through machine learning. By extension, a form of chemical network computing, i.e., a massively parallel non-linear Computer, can be realise... Read More about Initial results from the use of evolutionary learning to control chemical computers.
Towards neuronal computing: simple creation of two logic functions in 3D cell cultures using multi-electrode arrays (2008)
Journal Article
Bull, L., & Uroukov, I. (2008). Towards neuronal computing: simple creation of two logic functions in 3D cell cultures using multi-electrode arrays. International Journal of Unconventional Computing, 4(2), 143-154In this paper we begin by reviewing a number of previously presented approaches to control the electrical stimulation of in vitro neuronal networks for computation through the use of multi-electrode array technology. Drawing upon this research we des... Read More about Towards neuronal computing: simple creation of two logic functions in 3D cell cultures using multi-electrode arrays.
Boolean networks with memory (2008)
Journal Article
Alonso-Sanz, R., & Bull, L. (2008). Boolean networks with memory. International Journal of Bifurcation and Chaos, 18(12), 3799-3814. https://doi.org/10.1142/S0218127408022755In standard Boolean Networks (BN) the new state of a cell depends upon the neighborhood configuration only at the preceding time step. The effect of implementing memory of different types in cells of BN with different degrees of random rewiring is st... Read More about Boolean networks with memory.
One-dimensional coupled cellular automata with memory: Initial investigations (2008)
Journal Article
Alonso-Sanz, R., & Bull, L. (2008). One-dimensional coupled cellular automata with memory: Initial investigations. Journal of Cellular Automata, 5, 29-49
Technology in the life-world: over-extended zones of operation (2008)
Book Chapter
Beeson, I. (2008). Technology in the life-world: over-extended zones of operation. In L. Introna, F. Ilharco, & E. Faÿ (Eds.), Phenomenology, Organization and Technology (331-348). Lisbon: Universidade Católica Editora
A data model for integrating heterogeneous medical data in the health-e-child project (2008)
Book Chapter
Branson, A., Hauer, T., McClatchey, R., Rouglin, D., & Shamdasani, J. (2008). A data model for integrating heterogeneous medical data in the health-e-child project. In T. Solominides, J. C. Silverstein, J. Saltz, Y. Legré, M. Kratz, I. Foster, …J. R. Beck (Eds.), Global Healthgrid: e-Science Meets Biomedical Informatics (13-23). IOS Press
Learning classifier systems in data mining (2008)
Book
Bull, L. (2008). Learning classifier systems in data mining. Springer
On lookahead and latent learning in simple LCS (2008)
Conference Proceeding
Bull, L. (2008). On lookahead and latent learning in simple LCS. https://doi.org/10.1007/978-3-540-88138-4_9Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most current research has shifted to the use of an accuracy-based scheme wher... Read More about On lookahead and latent learning in simple LCS.
Searching for glider guns in cellular automata: Exploring evolutionary and other techniques (2008)
Journal Article
Sapin, E., & Bull, L. (2008). Searching for glider guns in cellular automata: Exploring evolutionary and other techniques
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