Now showing items 1-6 of 6

    • Bayesian Inference Methods Applied to Cancer Research 

      Gunawan, Rudy (University of Waterloo, 2009-12-11)
      The purpose of this Thesis is to present a Bayesian analysis of oncological data sets with particular focus on cervical carcinomas and ovarian cancers. Bayesian methods of data analysis have a very long history, and ...
    • Contributions to Unsupervised and Semi-Supervised Learning 

      Pal, David (University of Waterloo, 2009-05-22)
      This thesis studies two problems in theoretical machine learning. The first part of the thesis investigates the statistical stability of clustering algorithms. In the second part, we study the relative advantage of ...
    • A mathematical foundation for the use of cliques in the exploration of data with navigation graphs 

      Shuldiner, Pavel (University of Waterloo, 2023-01-19)
      Navigation graphs were introduced by Hurley and Oldford (2011) as a graph-theoretic framework for exploring data sets, particularly those with many variables. They allow the user to visualize one small subset of the variables ...
    • On imprecision in statistical theory 

      Shum, Marco Yan Shing (University of Waterloo, 2022-01-06)
      This thesis provides an exploration of the interplay between imprecise probability and statistics. Mathematically, one may summarise this relationship as how (Bayesian) sensitivity analysis involving a set of (prior) models ...
    • Query Optimization in Dynamic Environments 

      El-Helw, Amr (University of Waterloo, 2012-05-08)
      Most modern applications deal with very large amounts of data. Having to deal with such huge amounts of data is in itself a challenge. This challenge is complicated even more by the fact that, in many cases, this data is ...
    • Saving Electrical Energy in Commercial Buildings 

      Case, Ryan (University of Waterloo, 2012-08-27)
      With the commercial and institutional building sectors using approximately 29% and 34% of all electrical energy consumption in Canada and the United States, respectively, saving electrical energy in commercial and institutional ...

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