Now showing items 1-2 of 2

    • Graphical Models for Peptide Identification of Tandem Mass Spectra 

      Halloran, John Timothy
      Graphical models (GMs) provide a flexible framework for modeling phenomena. In the past few decades, GMs have become indispensable tools for machine learning and computational biology. They afford a wide range of modeling ...
    • Submodular Optimization and Data Processing 

      Wei, Kai
      Data sets are large and and are getting larger. Two common paradigms – data summarization and data partitioning, are often used to handle the big data. Data summarization aims at identifying a small sized subset of the ...