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Nathan John Burles

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  • 2015

    Embedded Dynamic Improvement

    Burles, N. J., Swan, J., Bowles, E., Brownlee, A. E. I., Kocsis, Z. A. & Veerapen, N., 2015, GECCO Companion '15: Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference. New York: ACM, p. 831-832

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

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  • Templar – A Framework for Template-Method Hyper-Heuristics

    Swan, J. & Burles, N. J., 2015, Genetic Programming: 18th European Conference, EuroGP 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings. Machado, P., Heywood, M., McDermott, J., Castelli, M., Garcia-Sanchez, P., Burelli, P., Risi, S. & Sim, K. (eds.). Cham: Springer, p. 205-216 (Lecture Notes in Computer Science; vol. 9025).

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

  • 2014

    Incorporating scale invariance into the cellular associative neural network

    Burles, N., O'Keefe, S. & Austin, J., 1 Jan 2014, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer, Vol. 8681 LNCS. p. 435-442 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8681 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

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  • 2013

    Improving the associative rule chaining architecture

    Burles, N. J., O'Keefe, S. & Austin, J., 2013, Artificial Neural Networks and Machine Learning - ICANN 2013: 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 2013. Proceedings.. Mladenov, V., Palm, G., Appollini, B., Koprinkova-Hristova, P., Villa, A. & Kasabov, N. (eds.). Berlin: Springer, Vol. 8131 LNCS. p. 98-105 8 p. (Lecture Notes in Computer Science; vol. 8131).

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

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  • 2012

    A Rule Chaining Architecture Using a Correlation Matrix Memory

    Austin, J., Hobson, S. J., Burles, N. J. & O'Keefe, S., 2012, Artificial Neural Networks and Machine Learning – ICANN 2012: 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part I. PART 1 ed. Springer, Vol. 7552. p. 49-56 (Lecture Notes in Computer Science; vol. 7552).

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

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