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Open Access research that better understands changing marine ecologies...

Strathprints makes available scholarly Open Access content by researchers in the Department of Mathematics & Statistics.

Mathematics & Statistics hosts the Marine Population Modelling group which is engaged in research into topics surrounding marine resource modelling and ecology. Recent work has included important developments in the population modelling of marine species.

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Number of items: 7.

Newton, M. A. H. and Levine, J.; (2010) Implicit Learning of Macro-Actions for Planning. In: Proceedings of the 2010 conference on ECAI 2010. ACM, New York, pp. 323-328. ISBN 978-1-60750-605-8

Murray, R. and Newton, M. (2008) Facilitating writing for publication. Physiotherapy, 94 (1). pp. 29-34. ISSN 0031-9406

Shahriar, A.Z.M. and Akbar, M.M. and Rahman, M.S. and Newton, M.A.H. (2008) A multiprocessor based heuristic for multi-dimensional multiple-choice knapsack problem. Journal of Supercomputing, 43 (3). pp. 257-280. ISSN 0920-8542

Newton, M. A. H. and Levine, J.; (2007) Evolving macro-actions for planning. In: Proceedings of the Workshop on AI Planning and Learning held at ICAPS 07. UNSPECIFIED.

Newton, M.A. Hakim and Levine, John and Fox, Maria and Long, Derek; Boddy, Mark and Fox, Maria and Thiebaux, Sylvie, eds. (2007) Learning macro-actions for arbitrary planners and domains. In: Proceedings of the Seventeenth International Conference on Automated Planning and Scheduling (ICAPS 2007). AAAI Press, California, USA, pp. 256-263. ISBN 1577353447

Newton, M. A. H. and Levine, J. and Fox, M. and Long, D.; (2006) Learning macro-actions genetically from plans. In: Proceedings of the 25th Workshop of the UK Planning and Scheduling Special Interest Group (PlanSIG 2006). UNSPECIFIED.

Newton, M. A. H. and Levine, J. and Fox, M.; (2005) Genetically evolved macro-actions in AI planning problems. In: Proceedings of the 24th Workshop of the UK Planning and Scheduling Special Interest Group (PlanSIG 2005). UNSPECIFIED, pp. 163-172.

This list was generated on Mon Nov 18 12:21:47 2024 GMT.