Browsing Cyfrifiadureg / Computer Science by Title

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Browsing Cyfrifiadureg / Computer Science by Title

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  • Fuzzy-Rough Set based Semi-Supervised Learning 
    MacParthalain, Neil; Jensen, Richard (2011-07-06)
    Much work has been carried out in the area of fuzzy-rough sets for supervised learning. However, very little has been accomplished for the unsupervised or semi-supervised tasks. For many real-word applications, it is often ...
  • Fuzzy-Rough Sets Assisted Attribute Selection 
    Shen, Qiang; Jensen, Richard (2007)
    Attribute selection (AS) refers to the problem of selecting those input attributes or features that are most predictive of a given outcome; a problem encountered in many areas such as machine learning, pattern recognition ...
  • Fuzzy rules from ant-inspired computation 
    Shen, Qiang; Galea, Michelle (2004)
    A new approach to fuzzy rule induction from historical data is presented. The implemented system - FRANTIC - is a tested on a simple classification problem against a fuzzy tree induction algorithm, a genetic algorithm, and ...
  • Fuzzy Sets and Rough Sets for Scenario Modelling and Analysis 
    Shen, Qiang (2009)
    Both fuzzy set theory and rough set theory play an important role in data-driven, systems modelling and analysis. They have been successfully applied to building various intelligent decision support systems (amongst many ...
  • A fuzzy-XCS classifier system with linguistic hedges 
    Marin-Blázquez, Javier; Shen, Qiang (2008)
    Many real-world problems require the development and application of algorithms that automatically generate human interpretable knowledge from historical data. Most existing algorithms for rule induction from imprecise data ...
  • Gaze modulated visual search integrating spatial and feature data : Embodied visual memory for robotic systems II 
    Hülse, Martin; McBride, Sebastian; Lee, Mark (2010-11)
    Substantial evidence supports the role of lateral intraparietal region (LIP) of the brain as the central processing point where bottom-up visual information is modulated by top-down task information from higher cortical ...
  • GC-MS Peak Labeling Under ArMet 
    Jenkins, Helen; Beckmann, Manfred; Draper, John; Hardy, Nigel (Springer, 2007)
  • Generalisation and Model Selection in Supervised Learning with Evolutionary Computation 
    Rowland, Jem (2003)
    EC-based supervised learning has been demonstrated to be an effective approach to forming predictive models in genomics, spectral interpretation, and other problems in modern biology. Longer-established methods such as PLS ...
  • Generalisation of Scale and Move Transformation-Based Fuzzy Interpolation 
    Shen, Qiang; Longzhi, Yang (2011)
    Fuzzy interpolative reasoning has been extensively studied due to its ability to enhance the robustness of fuzzy systems and reduce system complexity. In particular, the scale and move transformation-based approach is able ...
  • A general model of error-prone PCR 
    Pritchard, Leighton; Corne, D.; Kell, Douglas B.; Winson, Mike K.; Rowland, Jem (2005-06-21)
    In this paper, we generalise a previously-described model of the error-prone polymerase chain reaction (PCR) reaction to conditions of arbitrarily variable amplification efficiency and initial population size. Generalisation ...
  • Generating complex connectivity structures for large-scale neural models 
    Hülse, Martin (2008-09)
    Biological neural systems and the majority of other real-world networks have topologies significant different from fully or randomly connected structures, which are frequently applied for the definition of artificial neural ...
  • Granularity and disaggregation in compositional modelling with applications to ecological systems 
    Keppens, Jeroen; Shen, Qiang (2006-12)
    In the past decade, compositional modelling (CM) has established itself as the predominant knowledge-based approach to construct mathematical (simulation) models automatically. Although it is mainly applied to physical ...
  • Gravimagnetic similarity in anomaly formulas for uniform polyhedra 
    Holstein, Horst (2002)
    Gravitational and magnetic anomalies of an arbitrary target body are linked through Poisson's differential relation. For a uniform polyhedral target, Poisson's relation reduces to an algebraic link between gravity and ...
  • Growth of Motor Coordination in Early Robot Learning 
    Lee, Mark; Meng, Qinggang (2005)
    We present an implementation of a model of very early sensory-motor development, guided by results from developmental psychology. Behavioral acquisition and growth is demonstrated through constraint-lifting mechanisms ...
  • Haptic communication for mobile robot operations 
    Counsell, Mike; Barnes, David Preston (2003)
    Teleoperations in hazardous environments are often hampered by the lack of available information regarding the state of the remote robotic device. Typically, ideal camera placements are not possible, and an operator is ...
  • A hardware proof of concept of a sailing robot for ocean observation 
    Neal, Mark (IEEE, 2006-04)
    A design for a sailing robot capable of holding station in a variety of wind and sea conditions is described. Results from experiments with an autonomously controlled small-scale prototype on a lake are also presented. The ...
  • A hardware proof of concept of a sailing robot for ocean observation 
    Neal, Mark (2006-04)
    A design for a sailing robot capable of holding station in a variety of wind and sea conditions is described. Results from experiments with an autonomously controlled small-scale prototype on a lake are also presented. The ...
  • Harnessing surprise: tales from students' transformational biographies 
    Eckerdal, Anna; Zander, Carol; Thomas, Lynda (2011-07-15)
    Transformational biographies are used to shed light on situations when students have experienced 'surprise.' These biographies are examined in light of a philosophical position that surprise is useful in engendering learning, ...
  • Hierarchical Multi-classification with Predictive Clustering Trees in Functional Genomics 
    Clare, Amanda; Džeroski, Sašo; Struyf, Jan; Blockeel, Hendrik (2005)
    This paper investigates how predictive clustering trees can be used to predict gene function in the genome of the yeast Saccharomyces cerevisiae. We consider the MIPS FunCat classification scheme, in which each gene is ...
  • Homology Induction: the use of machine learning to improve sequence similarity searches 
    Karwath, Andreas; King, Ross Donald (2002-04-23)
    Background: The inference of homology between proteins is a key problem in molecular biology The current best approaches only identify ~50% of homologies (with a false positive rate set at 1/ 1000). Results: We present ...

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