Browsing Cyfrifiadureg / Computer Science by Title

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Browsing Cyfrifiadureg / Computer Science by Title

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  • Learning and Reuse of Experience in Behavior-Based Service Robots 
    Meng, Qinggang; Lee, Mark; Holstein, Horst (IEEE, 2002-12)
    In this paper, we describe the incorporation of learning and reuse of experience into behavior-based service robot systems. Experience is context based, and the learned experience is associated with its relevant behaviors. ...
  • Learning Bayesian network equivalence classes with ant colony optimization 
    Daly, Ronan; Shen, Qiang (2009-06)
    Bayesian networks are a useful tool in the representation of uncertain knowledge. This paper proposes a new algorithm called ACO-E, to learn the structure of a Bayesian network. It does this by conducting a search through ...
  • Learning Bayesian networks: approaches and issues 
    Daly, Ronan; Shen, Qiang; Aitken, Stuart (2011-05)
    Bayesian networks have become a widely used method in the modelling of uncertain knowledge. Owing to the difficulty domain experts have in specifying them, techniques that learn Bayesian networks from data have become ...
  • Learning Qualitative Metabolic Models 
    Garrett, Simon; King, Ross Donald; Coghill, George (2004)
  • Learning Qualitative Models in the Presence of Noise 
    King, Ross Donald; Coghill, George; Garrett, Simon (2002)
  • Learning styles and performance in the introductory programming sequence 
    Thomas, Lynda; Woodbury, John; Jarman, E.; Ratcliffe, Mark (2002-03)
    This paper reports on the implication of different preferred learning styles on students' performance in the introductory programming sequence and on work in progress on how to accommodate these different styles.Students ...
  • Learning styles: novices decide 
    Hanks, Brian; Zander, Carol; Thomas, Lynda; Simon, Beth; Fitzgerald, Sue; Murphy, Laurie; McCauley, Renee (2009-07)
    We present what students say about their preferred learning style to succeed in introductory programming. Using the Felder-Silverman learning styles, students contrasted the 'best' learning style for programming with the ...
  • Lifelong Evolution for Adaptive Robots 
    Walker, Joanne; Wilson, Myra (2002-10)
  • Lightweight Arm Operations for Planetary Sample Return 
    Barnes, David Preston; Tyler, Laurence; McMahon, Paul (2011-05-05)
    The Beagle 2 robotic arm was studied to evaluate its suitability as a basis for the design of a lightweight instrument deployment arm for a future planetary rover mission. Newly developed circuitry allowed the arm to be ...
  • Liminal spaces and learning computing 
    McCartney, Robert; Boustedt, Jonas; Eckerdal, Anna; Moström, Jan Erik; Sanders, Kate; Thomas, Lynda; Zander, Carol (2009)
    'Threshold concepts' are concepts that, among other things, transform the way a student looks at a discipline. Although the term 'threshold' might suggest that the transformation occurs at a specific point in time, an 'aha' ...
  • Linear structures in mammographic images: detection and classification 
    Boggis, C. R. M.; Taylor, C. J.; Astley, S. M.; Zwiggelaar, Reyer (2004)
    We describe methods for detecting linear structures in mammograms, and for classifying them into anatomical types (vessels, spicules, ducts, etc). Several different detection methods are compared, using realistic synthetic ...
  • Linguistic hedges for ant-generated rules 
    Shen, Qiang; Galea, Michelle (2006)
    FRANTIC, a system inspired by insect behaviour for inducing fuzzy IF-THEN rules, is enhanced to produce rules with linguistic hedges. FRANTIC is evaluated against an earlier version of itself and against several other fuzzy ...
  • Linguistic probabilities: theory and application 
    Halliwell, Joe; Shen, Qiang (2009-01)
    Over the past two decades a number of different approaches to “fuzzy probabilities” have been presented. The use of the same term masks fundamental differences. This paper surveys these different theories, contrasting and ...
  • Linguistic Rulesets Extracted from a Quantifier-based Fuzzy Classification System 
    Shen, Qiang; Ellis, Ian O.; Garibaldi, Jonathan M.; Rasmani, Khairul A. (2009-08)
    The use of linguistic rulesets is considered one of the greatest advantages that fuzzy classification systems can offer compared to non-fuzzy classification systems. This paper proposes the use of fuzzy thresholds and fuzzy ...
  • Locational distribution of gene functional classes in Arabidopsis thaliana 
    Riley, Michael Charles; Clare, Amanda; King, Ross Donald (2007-03-30)
    Background: We are interested in understanding the locational distribution of genes and their functions in genomes, as this distribution has both functional and evolutionary significance. Gene locational distribution is ...
  • The Logic of Biological Inspired Robotics 
    Hülse, Martin; Lee, Mark (2010-04)
    Biologically inspired robotics is a well known approach for the design of autonomous intelligent robot systems. Very often it is assumed that biologically inspired models successfully implemented on robots offer new scientific ...
  • Long Term Power Management in Sailing Robots 
    Neal, Mark; Sauze, Colin (2012-08-06)
    This paper describes work on a biologically inspired approach to long term power management in sailing robots. Sailing robots offer the promise of a flexible and low cost ocean observation platform which can either hold ...
  • Machine learning of functional class from phenotype data 
    Clare, Amanda; King, Ross Donald (2002)
    Motivation: Mutant phenotype growth experiments are an important novel source of functional genomics data which have received little attention in bioinformatics. We applied supervised machine learning to the problem of ...
  • Mammographic image segmentation and risk classification based on mammographic parenchymal patterns and geometric moments 
    He, W.; Denton, E. R. E.; Stafford, Kirsten; Zwiggelaar, R. (2011-07)
    Mammographic risk assessment is becoming increasingly important in decision making in screening mammography and computer aided diagnosis systems. Strong evidence shows that characteristic patterns of breast tissue as seen ...
  • Mammographic risk assessment: does anatomical linear structure information improve the accuracy of a density-based classifier? 
    Zwiggelaar, R. (2008)
    Mammographic risk assessment is concerned with the probability of a woman developing breast cancer. Recently, it has been suggested that the density of linear structures is related to risk. Two independent sets of mammographic ...

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