Browsing Cyfrifiadureg / Computer Science by Title

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Browsing Cyfrifiadureg / Computer Science by Title

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  • Iam-On, N.; Boongoen, Tossapon; Garrett, Simon Martin; Price, Christopher John (2011-12)
    Cluster ensembles have recently emerged as a powerful alternative to standard cluster analysis, aggregating several input data clusterings to generate a single output clustering, with improved robustness and stability. ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Q, Claire Elizabeth (Aberystwyth UniversityComputer Science, 2013)
    Abstract Can machine learning algorithms be trained to recognise beauty in music? To what extent is human recognition of beauty in music cultural, or crosscultural? Music is prevalent in all human cultures. Music ...
  • 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 ...
  • Chen, Zhili (Aberystwyth UniversityComputer Science, 2013)
    ABSTRACT Breast cancer is currently the most common cancer among women worldwide. Mammography has been the most reliable and e ective screening tool for the early detection of breast cancer. Recently, computer-aided ...
  • He, Wenda; Denton, Erika R.E.; Stafford, Kirsten; Zwiggelaar, Reyer (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 ...
  • 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 ...
  • W He, E. R. E. Denton; Zwiggelaar, R. (2009)
    Strong evidence shows that characteristic patterns of breast tissues as seen on mammography, referred to as mammographic parenchymal patterns, provide crucial information about breast cancer risk. Quantitative evaluation ...
  • He, W.; Zwiggelaar, R.; Denton, E. R. E.; Muhimmah, I. (2008)
    We present an approach to automate texton selection to achieve optimized mammogram segmentation results with respect to mammographic building blocks (i.e. nodular, linear, homogeneous, and radiolucent) as described by ...
  • Bignardi, T.; Burnet, S.; Alhamdan, D.; Lu, Chuan; Pardey, J.; Benzie, R.; Condous, George (2011-06-06)
    OBJECTIVE: To assess the impact of the introduction of an ultrasound-based model of care for women with acute gynecological complications. METHODS: This was a prospective comparative study of women attending an ultrasound-based ...
  • Lee, Mark (2000-06)
    Over the past three decades, tactile sensing has developed into a sophisticated technology. There has been a longstanding and widely held expectation that tactile sensors would have a major impact on industrial robotics ...
  • MacParthaláin, Neil Seosamh; Jensen, Richard (2010)
    For supervised learning, feature selection algorithms attemptto maximise a given function of predictive accuracy.This function usually considers the ability of feature vectorsto reflect decision class labels. It is therefore ...
  • MacParthaláin, Neil Seosamh; Jensen, Richard (IEEE, 2009-11-30)
    For supervised learning, feature selection algorithms attempt to maximise a given function of predictive accuracy. This function usually considers the ability of feature vectors to reflect decision class labels. It is ...
  • Spasić, Irena; Dunn, Warwick B.; Velarde, Giles; Tseng, Andy; Jenkins, Helen; Hardy, Nigel; Oliver, Stephen G.; Kell, Douglas B. (2006-06-05)
    Background The genome sequencing projects have shown our limited knowledge regarding gene function, e.g. S. cerevisiae has 5–6,000 genes of which nearly 1,000 have an uncertain function. Their gross influence on the behaviour ...
  • Fiehn, Oliver; Robertson, Donald; Griffin, Julian L.; van der Werf, Mariet; Nikolau, Basil; Morrison, Norman; Sumner, Lloyd W.; Goodacre, Royston; Hardy, Nigel; Taylor, Chris F.; Fostel, Jennifer; Kristal, Bruce; Kaddurah-Daouk, Rima; Mendes, Pedro; van Ommen, B.; Lindon, John C.; Sansone, Susanna-Assunta (2007-09-01)
    In 2005, the Metabolomics Standards Initiative has been formed. An outline and general introduction is provided to inform about the history, structure, working plan and intentions of this initiative. Comments on any of the ...
  • Neal, Mark (2003-09)
    Abstract. This paper describes an artificial immune system algorithm which implements a fairly close analogue of the memory mechanism proposed by Jerne(1) (usually known as the Immune Network Theory). The algorithm demonstrates ...
  • Shen, Qiang; Daly, Ronan (2007)
    Bayesian networks have become a standard technique in the representation of uncertain knowledge. This paper proposes methods that can accelerate the learning of a Bayesian network structure from a data set. These methods ...
  • Liang, Shen; He, Jun (2010-07)
    The performance of Evolutionary Programming (EP) is affected by many factors (e.g. mutation operators and selection strategies). Although the conventional approach with Gaussian mutation operator may be efficient, the ...

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