Browsing by Author "Diao, Ren"

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  • Jin, Shangzhu; Diao, Ren; Shen, Qiang (IEEE, 2012-06)
    Fuzzy rule interpolation is well known for reducing the complexity of fuzzy models and making inference possible in sparse rule-based systems. However, in practical applications with inter-connected subsets of rules, ...
  • Jin, Shangzhu; Diao, Ren; Quek, Chai; Shen, Qiang (2013)
    Fuzzy rule interpolation offers a useful means for reducing the complexity of fuzzy models, more importantly, it makes inference possible in sparse rule-based systems. Backward fuzzy rule interpolation is a recently proposed ...
  • Diao, Ren; Shen, Qiang (2010-09-16)
    Harmony search is a recently developed meta heuristic capable of solving discrete and continuous valued optimisation problems. However, the nature of pre-defined constant parameters limits the exploitation of the algorithm. ...
  • Diao, Ren; Shen, Qiang (2010-09)
    Harmony search is a recently developed meta heuristic capable of solving discrete and continuous valued optimisation problems. However, the nature of pre-defined constant parameters limits the exploitation of the algorithm. ...
  • Diao, Ren; MacParthaláin, Neil Seosamh; Shen, Qiang (IEEE, 2013)
    Various strategies have been exploited for the task of feature selection, in an effort to identify more compact and better quality feature subsets. Most existing approaches focus on selecting from a static pool of training ...
  • Zheng, Ling; Diao, Ren; Shen, Qiang (IEEE, 2013)
  • Shen, Qiang; Diao, Ren; Su, Pan (EasyChair, 2012-06-22)
    Many strategies have been exploited for the task of feature selection, in an effort to identify more compact and better quality feature subsets. Such techniques typically involve the use of an individual feature significance ...
  • Diao, Ren; Chao, Fei; Peng, Taoxin; Snooke, Neal; Shen, Qiang (2013-09-25)
    Classifier ensembles constitute one of the main research directions in machine learning and data mining. The use of multiple classifiers generally allows better predictive performance than that achievable with a single ...
  • Diao, Ren; Shen, Qiang (2012-12)
    Many search strategies have been exploited for the task of feature selection (FS), in an effort to identify more compact and better quality subsets. Such work typically involves the use of greedy hill climbing (HC), or ...
  • Diao, Ren (Aberystwyth UniversityComputer Science, 2014)
    Abstract Feature selection is a term given to the problem of selecting important domain attributes which are most predictive of a given outcome. Unlike other dimensionality reduction methods, feature selection approaches ...
  • Diao, Ren; Shen, Qiang (IEEE, 2011-09-06)
    Classifier ensembles constitute one of the main research directions in machine learning and data mining. Ensembles allow higher accuracy to be achieved which is otherwise often not achievable with a single classifier. A ...
  • Diao, Ren; Shen, Qiang (2011-09-06)
    Classifier ensembles constitute one of the main research directions in machine learning and data mining. Ensembles allow higher accuracy to be achieved which is otherwise often not achievable with a single classifier. A ...
  • Diao, Ren; Shen, Qiang (2012)
    The automated generation of feature pattern based if-then rules is essential to the success of many intelligent pattern classifiers, especially when their inference results are expected to be directly human-comprehensible. ...
  • Diao, Ren; Shen, Qiang; Jin, Shangzhu (2011-09-26)
    Fuzzy rule interpolation (FRI) is well known for reducing the complexity of fuzzy models and making inference possible in sparse rule-based systems. However, in practical fuzzy applications with inter-connected rule bases, ...
  • Jin, Shangzhu; Diao, Ren; Shen, Qiang (School of Computer Science, University of Manchester, 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, ...
  • Naik, Nitin Kumar; Diao, Ren; Quek, Chai; Shen, Qiang (IEEE, 2013)
    Fuzzy rule interpolation (FRI) offers a useful means for reducing the complexity of fuzzy models and more importantly, it makes inference possible in sparse rule-based systems. An interpolative reasoning system may encounter ...
  • Diao, Ren; Shen, Qiang (2010-07-27)
    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 ...
  • 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 ...