Browsing Advanced Reasoning Group by Title

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  • Jensen, Richard; Shen, Qiang (2007)
    One of the main obstacles facing the application of computational intelligence technologies in pattern recognition (and indeed in many other tasks) is that of dataset dimensionality. To enable pattern classifiers to be ...
  • Yang, Longzhi; Shen, Qiang (2009-08)
    Fuzzy interpolative reasoning has been extensively studied due to its ability to enhance the robustness of fuzzy systems and to reduce system complexity. However, during the interpolation process, it is possible that ...
  • Jin, Shangzhu; Diao, Ren; Shen, Qiang (Manchester University Press, 2011-09-26)
    Fuzzy rule interpolation (FRI) is well known forreducing the complexity of fuzzy models and making inferencepossible in sparse rule-based systems. However, in practicalfuzzy applications with inter-connected rule bases, ...
  • Shen, Qiang; Zhao, Ruiqing; Fu, Xin (2007-07-23)
    Compositional Modelling (CM) has been applied to synthesize automatically plausible scenarios in many problem domains with promising results. However, it is assumed that the generic and reusable model fragments within the ...
  • Chen, Chengyuan; Shen, Qiang (Manchester University Press, 2011-09-07)
    Fuzzy rule interpolation is an important technique for performing inferences with sparse rule bases. Even when given observations have no overlap with the antecedent values of any rule, fuzzy rule interpolation may still ...
  • Shen, Qiang; Huang, Zhiheng (2005)
    Fuzzy interpolation offers the potential to model problems with sparse rule bases, as opposed to dense rule bases deployed in traditional fuzzy systems. It thus supports the simplification of complex fuzzy models and ...
  • Diao, Ren; Shen, Qiang (2010-07)
    Many search strategies have been exploited in implementing feature selection, in an effort to identify smaller and better subsets. Such work typically involves the use of heuristics in one form or another. In this paper ...
  • Shen, Qiang; Daly, Ronan; Aitken, Stuart (2006)
    Bayesian networks are a useful tool in the representation of uncertain knowledge. This paper proposes a new algorithm to learn the structure of a Bayesian network. It does this by conducting a search through the space of ...
  • Jensen, Richard; Shen, Qiang (2006)
    Due to the explosive growth of electronically stored information, automatic methods must be developed to aid users in maintaining and using this abundance of information effectively. In particular, the sheer volume of ...

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