Browsing Advanced Reasoning Group by Title

Sort by: Order: Results:

  • King, Ross Donald; Garrett, Simon; Coghill, George (Oxford Journals, 2005-01)
    Motivation: Perhaps the greatest challenge of modern biology is to develop accurate in silico models of cells. To do this we require computational formalisms for both simulation (how according to the model the state of the ...
  • Shen, Qiang; Boongoen, Tossapon (2009)
    Combating identity fraud is crucial and urgent as false identity has become the common denominator of all serious crime, including mafia trafficking and terrorism. Typical approaches to detecting the use of false identity ...
  • Jensen, Richard (Springer Nature, 2006)
    The main aim of feature selection is to determine a minimal feature subset from a problem domain while retaining a suitably high accuracy in representing the original features. In real world problems FS is a must due to ...
  • Shen, Qiang; Huang, Zhiheng (IEEE Press, 2009-08)
    Fuzzy interpolative reasoning plays an important role in fuzzy modelling as it not only helps to reduce the number of rules in a rule base, but also provides an inference mechanism for sparse rule bases. In interpolation, ...
  • Shen, Qiang; Huang, Zhiheng (2005)
    Fuzzy interpolative reasoning serves as an important role in fuzzy modelling as it does not only help reduce rule number but also provides an inference mechanism for sparse rule bases. The preservation of piece-wise linearity ...
  • Eckerdal, Anna; Ratcliffe, Mark; Sanders, Kate; Moström, Jan Erik; Zander, Carol; McCartney, Robert (2006)
    This paper describes Threshold Concepts, a theory of learning that distinguishes core concepts whose characteristics can make them troublesome in learning. With an eye to applying this theory in computer science, we consider ...
  • Eckerdal, Anna; Ratcliffe, Mark Bartley; Sanders, Kate; Moström, Jan Erik; Zander, Carol; McCartney, Robert (2006-09)
    This paper describes Threshold Concepts, a theory of learning that distinguishes core concepts whose characteristics can make them troublesome in learning. With an eye to applying this theory in computer science, we consider ...
  • Goodarzi, Mohammad; Jensen, Richard; Vander Heyden, Yvan (2012-12-01)
    A Quantitative Structure-Retention Relationship (QSRR) is proposed to estimate the chromatographic retention of 83 diverse drugs on a Unisphere poly butadiene (PBD) column, using isocratic elutions at pH 11.7. Previous ...
  • Price, Chris; Trave-Massuyes, Louise; Milne, Rob; Ironi, Liliana; Forbus, Kenneth; Bredeweg, Bert; Lee, Mark; Struss, Peter; Snooke, Neal; Lucas, Peter; Cavazza, Marc; Coghill, George (2006-12-04)
    This paper reviews the state of the art in model-based systems and qualitative reasoning, and considers where the field will be in twenty years time. It highlights six areas where developments in model-based systems in ...
  • Lee, Mark Howard; Garrett, Simon Martin (2000-10)
    When faced with an interface to an unknown system or device humans adopt exploratory interactive behaviour in order to gain information and insight. This paper describes a computer program which probes, observes and models ...
  • Shen, Qiang; Zhao, Ruiqing; Tang, Wansheng (2009)
    Random fuzzy theory offers an appropriate mechanism to model random fuzzy phenomena, with a random fuzzy variable defined as a function from a credibility space to a collection of random variables. Based on this theory, ...
  • Li, Shunqin; Shen, Qiang; Wansheng, Tang; Ruiqing, Zhao (2009)
    In renewal processes, fuzziness and randomness often coexist intrinsically. Based on the random fuzzy theory, a delayed renewal process with random fuzzy interarrival times is proposed in this paper. Relations between the ...
  • Yang, M.; Shen, Qiang (2008-05-15)
    This paper presents an integrated knowledge-based system, which combines fuzzy rule-based reasoning with case-based reasoning, for turbomachinery diagnosis. By incorporating a case-based reasoning sub-system in a fuzzy ...
  • Shen, Qiang; Zhao, Ruiqing (2010-11-15)
    This paper presents a novel approach for assessing the potential risk of serious crime events (e.g. terrorist attack). The modelling and assessment of such risk is carried out under uncertain circumstances because of both ...
  • Shen, Qiang; MacParthaláin, Neil Seosamh; Jensen, Richard (2008-09-10)
    The accuracy of methods for the detection of mammographic abnormaility is heavily related to breast tissue characteristics. A breast with high tissue density will have reduced sensitivity in terms of detection. Also, breast ...
  • Shen, Qiang (Springer Nature, 2007)
    The last two decades have seen many powerful classification systems being built for large-scale real-world applications. However, for all their accuracy, one of the persistent obstacles facing these systems is that of data ...
  • Jensen, Richard; Shen, Qiang (Information Science Reference, 2007-11-15)
    Feature selection aims to determine a minimal feature subset from a problem domain while retaining a suitably high accuracy in representing the original features. Rough set theory (RST) has been used as such a tool with ...
  • Wang, Xiangyang; Yang, Jie; Jensen, Richard; Liu, Xiaojun (2006-08-08)
    The degree of malignancy in brain glioma is assessed based on Magnetic Resonance Imaging (MRI) findings and clinical data before operation. These data contain irrelevant features, while uncertainties and missing values ...
  • Shen, Qiang; Jensen, Richard (2007)
    Rough set theory provides a useful mathematical foundation for developing automated computational systems that can help understand and make use of imperfect knowledge. Despite its recency, the theory and its extensions ...
  • Thomas, Lynda; Thomasson, Benjy; Ratcliffe, Mark (2004)
    This paper describes a project being undertaken at the University of Wales, Aberystwyth that aims to enhance the pedagogical process through the use of collaborative design. It describes a survey that highlights dissatisfaction ...

Search Cadair


Advanced Search

Browse