Browsing Cyfrifiadureg / Computer Science by Title

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Browsing Cyfrifiadureg / Computer Science by Title

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  • 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 ...
  • MacParthaláin, Neil Seosamh; Jensen, Richard; Shen, Qiang (2008-06-01)
    Dataset dimensionality is undoubtedly the single most significant obstacle which exasperates any attempt to apply effective computational intelligence techniques to problem domains. In order to address this problem a ...
  • Shen, Qiang; Tuson, Andrew; Jensen, Richard (2005)
    Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine learning, pattern recognition and signal processing. ...
  • Sansone, Susanna-Assunta; Rocca-Serra, Philippe; Brandizi, Marco; Brazma, Alvis; Field, Dawn; Fostel, Jennifer; Garrow, Andrew G.; Gilbert, Jack; Goodsaid, Federico; Hardy, Nigel; Jones, Phil; Lister, Allyson; Miller, Michael; Morrison, Norman; Rayner, Tim; Sklyar, Nataliya; Taylor, Chris F.; Tong, Weida; Warner, Guy; Wiemann, Stefan (2008-06-19)
    This article summarizes the motivation for, and the proceedings of, the first ISA-TAB workshop held December 6–8, 2007, at the EBI, Cambridge, UK. This exploratory workshop, organized by members of the Microarray Gene ...
  • Pattison, T.; Wilson, Myra (2003)
  • Lipsa, Dan R.; Laramee, Robert S.; Cox, Simon John; Davies, Ioan Tudur (2011-12-01)
    Research in the field of complex fluids such as polymer solutions, particulate suspensions and foams studies how the flow of fluids with different material parameters changes as a result of various constraints. Surface ...
  • Shen, Qiang; Daly, Ronan (2005)
    A method is proposed, whereby a particular application of an operator, applied to a structure representing a Bayesian network equivalence class can be scored in a generic fashion. This is achieved by representing a particular ...
  • Galea, Michelle; Shen, Qiang (2004)
    An approach to fuzzy rule induction inspired by the foraging behaviour of ants is presented. The implemented system - FRANTIC - is tested on a real classification problem against two other fuzzy rule induction algorithms, ...
  • Liu, Yonghuai (2010-09-01)
    This paper formalizes overlapping free form shape registration as a minimization problem, which minimizes a weighted sum of registration errors of tentative correspondences with the weights subject to boundary conditions. ...
  • He, Jun; Yao, Xin (2002-10)
    Almost all analyses of time complexity of evolutionary algorithms (EAs) have been conducted for (1 + 1) EAs only. Theoretical results on the average computation time of population-based EAs are few. However, the vast ...
  • McCartney, R.; Zander, C.; Sanders, K.; Thomas, Lynda; Mostrum, J.; Eckerdal, Anna (2007-09)
    This paper is part of an ongoing series of projects in which we are investigating 'threshold concepts': concepts that, among other things, transforms the way a student looks as the discipline and are often troublesome to ...
  • Zhang, Xin; Lee, Mark Howard (Imperial College Press, 2006)
  • Hülse, Martin (2010-01)
    Models of complex information processing based on artificial neural networks frequently apply fully connected or random graph structures. However, it is well known that biological neural systems operate on sparsely connected ...
  • Bell, Jonathan; Price, Chris; Snooke, Neal (2005-05)
    Description of system function is already in use as the basis of an approach to interpretation of the results of simulation in design analysis, allowing an automated design analysis tool to generate a textual report detailing ...
  • King, Ross Donald; Whelan, Kenneth Edward; Jones, Ffion M.; Reiser, Philip G. K.; Bryant, Christopher H.; Muggleton, Stephen H.; Kell, Douglas B.; Oliver, Stephen G. (2004-01-15)
    The question of whether it is possible to automate the scientific process is of both great theoretical interest and increasing practical importance because, in many scientific areas, data are being generated much faster ...
  • Jones, Andrew R.; Miller, Michael; Aebersold, Ruedi; Apweiler, Rolf; Ball, Catherine A.; Brazma, Alvis; DeGreef, James; Hardy, Nigel; Hermjakob, Henning; Hubbard, Simon J.; Hussey, Peter; Igra, Mark; Jenkins, Helen; Julian Jr, Randall K.; Laursen, Kent; Oliver, Stephen G.; Paton, Norman W.; Sansone, Susanna-Assunta; Sarkans, Ugis; Stoeckert Jr, Christian J.; Taylor, Chris F.; Whetzel, Patricia L.; White, Joseph A.; Spellman, Paul; Pizarro, Angel (2007-10-05)
    The Functional Genomics Experiment data model (FuGE) has been developed to facilitate convergence of data standards for high-throughput, comprehensive analyses in biology. FuGE models the components of an experimental ...
  • Dobson, Paul D.; Smallbone, Kieran; Jameson, Daniel; Simeonidis, Evangelos; Lanthaler, Karin; Pir, Pınar; Lu, Chuan; Swainston, Neil; Dunn, Warwick B.; Fisher, Paul; Hull, Duncan; Brown, Marie; Oshota, Olusegun; Stanford, Natalie J.; Kell, Douglas B.; King, Ross Donald; Oliver, Stephen G.; Stevens, Robert D.; Mendes, Pedro (2010-10-28)
    Background. To date, several genome-scale network reconstructions have been used to describe the metabolism of the yeast Saccharomyces cerevisiae, each differing in scope and content. The recent community-driven reconstruction, ...
  • Fu, X.; Shen, Q. (2011-07)
    There are a variety of measures to describe classification performance with respect to different criteria and they are often represented by numerical values. Psychologists have commented that human beings can only reasonably ...
  • Fu, Xin; Shen, Qiang (2010-08)
    Automated modeling refers to automatic (re-)formulation of alternative system models that embody the simplification, abstraction, and approximation of knowledge and data for a given task. This technique is highly desirable ...
  • Shen, Qiang; Yang, M. (2008)
    This paper presents a fuzzy knowledge-based system for turbomachinery diagnosis. Given symptoms associated with a vibration problem, the system can identify and rank possible causes by performing incremental forward chaining. ...

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