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    Madden, Michael G. (4)
    Enright, Catherine G. (1)Garg, Ankita (1)Khan, Imtiaz A. (1)Khan, Shehroz S. (1)... View MoreSubjectBayesian networks and classification (1)Bayesian statistical decision theory -- Data processing (1)Cancer (1)Cell lineage (1)Computer Science, Machine Learning (1)... View MoreDate Issued2015 (1)2010 (1)2009 (2)TypeArticle (3)Conference Paper (1)

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    On the Classification Performance of TAN and General Bayesian Networks 

    Madden, Michael G. (Elsevier, 2009)
    Over a decade ago, Friedman et al. introduced the Tree Augmented Naïve Bayes (TAN) classifier, with experiments indicating that it significantly outperformed Naïve Bayes (NB) in terms of classification accuracy, ...
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    Revealing the Origin and Nature of Drug Resistance of Dynamic Tumour Systems 

    Santiago-Mozos, Ricardo; Khan, Imtiaz A.; Madden, Michael G. (2010)
    In this paper, the authors identify the strategies that resistant subpopulations of cancer cells undertake to overcome the effect of the anticancer drug Topotecan. For the analyses of cell lineage data encoded from timelapse ...
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    A survey of recent trends in one class classification 

    Khan, Shehroz S.; Madden, Michael G. (Springer Verlag - LNAI, 2009-08)
    The One Class Classification (OCC) problem is di fferent from the conventional binary/multi-class classi fication problem in the sense that in OCC, the negative class is either not present or not properly sampled. The ...
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    Improving spectral library search by redefining similarity measures 

    Garg, Ankita; Enright, Catherine G.; Madden, Michael G. (Journal Of Chemical Information And Modeling, 2015-04-22)
    Similarity plays a central role in spectral library search. The goal of spectral library search is to identify those spectra in a reference library of known materials that most closely match an unknown query spectrum, on ...
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