Now showing items 1-4 of 4

    • Local Graph Clustering Using l1-regularized PageRank Algorithms 

      Hu, Chufeng (University of Waterloo, 2020-05-05)
      Local graph clustering methods are used to find small- and medium-scale clusters without traversing the graph. It has been shown that the combination of Approximate Personalized PageRank (APPR) algorithm and sweep method ...
    • Optimization Methods for Semi-Supervised Learning 

      Cheung, Edward (University of Waterloo, 2018-05-17)
      The goal of this thesis is to provide efficient optimization algorithms for some semi-supervised learning (SSL) tasks in machine learning. For many machine learning tasks, training a classifier requires a large amount of ...
    • Sentiment Lexicon Induction and Interpretable Multiple-instance Learning in Financial Markets 

      Fu, Chengyao (University of Waterloo, 2020-09-28)
      Sentiment analysis has been widely used in the domain of finance. There are two most common textual sentiment analysis methods in finance: \textit{dictionary-based approach} and \textit{machine learning approach}. The ...
    • Trust Region Methods for Training Neural Networks 

      Kinross, Colleen (University of Waterloo, 2017-11-09)
      Artificial feed-forward neural networks (ff-ANNs) serve as powerful machine learning models for supervised classification problems. They have been used to solve problems stretching from natural language processing to ...


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