Browsing Faculty of Graduate Studies and Research by Author "Yao, Yiyu"

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Browsing Faculty of Graduate Studies and Research by Author "Yao, Yiyu"

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  • Zhou, Bing (Faculty of Graduate Studies and Research, University of Regina, 2012-07)
    Bayesian inference and rough set theory provide two approaches to data analysis. There are close connections between the two theories as they both use probabilities to express uncertainties and knowledge about data. ...
  • Fan, Gaojian (Faculty of Graduate Studies and Research, University of Regina, 2012-07)
    In computational learning theory, concepts are subsets of a set of instances and a concept class is a set of concepts. In many computational learning models, learning algorithms have the goal to identify the target concept ...
  • Yan, Wen (Faculty of Graduate Studies and Research, University of Regina, 2013-06)
    Bayesian networks are a semantic modeling tool for managing uncertainty in complex domains. While the numerous techniques for exact inference vary when they apply the multiplication and marginalization (addition) operators, ...
  • Dosselmann, Richard Wayne (Faculty of Graduate Studies and Research, University of Regina, 2012-07)
    Image quality assessment is a very challenging problem in image processing. Most image quality metrics are currently based on super cial variations in pixel values, perceptual models and structural changes. As well, most ...
  • Fu, Rong (Faculty of Graduate Studies and Research, University of Regina, 2012-10)
    Rough set theory offers a mathematical approach to data analysis and data mining. It can be used to learn classification rules that define classes of a classi- fication based on some well defined concepts. The fundamental ...

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