Now showing items 4-7 of 7

  • Multi-HDCS: solving DisCSPs with complex local problems cooperatively. 

    Lee, David; Arana, Ines; Ahriz, Hatem; Hui, Kit-Ying (IEEE Computer Society http://dx.doi.org/10.1109/WI-IAT.2010.141, 2010-09)
    LEE, D., ARANA, I., AHRIZ, H. and HUI, K., 2010. Multi-HDCS: solving DisCSPs with complex local problems cooperatively. In: Proceedings of IEEE/WIC/ACM International Conference on Web Intellligence and Intelligent Agent Technology (WI-IAT 2010). 31 August – 3 September 2010.
    We propose Multi-HDCS, a new hybrid approach for solving Distributed CSPs with complex local problems. In Multi-HDCS, each agent concurrently: (i) runs a centralised systematic search for its complex local problem; (ii) ...
  • Multi-hyb: a hybrid algorithm for solving DisCSPs with complex local problems. 

    Lee, David; Arana, Ines; Ahriz, Hatem; Hui, Kit-Ying (IEEE Computer Society. http://dx.doi.org/10.1109/WI-IAT.2009.181, 2009-09)
    LEE, D., ARANA, I., AHRIZ, H. and HUI, K.-Y., 2009. Multi-hyb: a hybrid algorithm for solving DisCSPs with complex local problems. In: P. BOLDI, G. VIZZARI, G. PASI and R. BAEZA-YATES eds. Web Intelligence and Intelligent Agent Technologies, 2009. WI-IAT '09. IEEE/WIC/ACM International Joint Conferences on , vol.2. 15-18 September 2009, Los Alamitos, California: IEEE Computer Society. Pp. 379-382.
    A coarse-grained Distributed Constraint Satisfaction Problem (DisCSP) is a constraint problem where several agents, each responsible for solving one part (a complex local problem), cooperate to determine an overall solution. ...
  • Related scientific information: a study on user-defined relevance. 

    Beresi, Ulises Cervino (Robert Gordon University School of Computing, 2011-09)
    This dissertation presents an investigation into the manifestations of relevance observed in the context of related scientific information. The main motivation is to observe if researchers, in the context of knowledge ...
  • Taxonomic corpus-based concept summary generation for document annotation. 

    Nkisi-Orji, Ikechukwu; Wiratunga, Nirmalie; Hui, Kit-Ying; Heaven, Rachel; Massie, Stewart (Springer https://doi.org/10.1007/978-3-319-67008-9_5, 2017-09-02)
    NKISI-ORJI, I., WIRATUNGA, N., HUI, K.-Y., HEAVEN, R. and MASSIE, S. 2017. Taxonomic corpus-based concept summary generation for document annotation. In Kampus, J., Tsakonas, G., Manolopoulos, Y., Iliadis, L. and Karydis, I. (eds). Lecture notes in computer science [online], 10450, research and advanced technology for digital libraries: proceedings of the 21st international conference on theory and practice of digital libraries (TPDL 2017), 18-21 September 2017, Thessaloniki, Greece. Cham: Springer, pages 49-60. Available from: https://doi.org/10.1007/978-3-319-67008-9_5
    Semantic annotation is an enabling technology which links documents to concepts that unambiguously describe their content. Annotation improves access to document contents for both humans and software agents. However, the ...