Browsing by Subject "Machine Learning"

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  • Applying deep convolutional neural networks to the dragon boat partition problem 
    Regnier, Brett; University of Lethbridge. Faculty of Arts and Science (Lethbridge, Alta. : University of Lethbridge, Dept. of Mathematics and Computer ScienceArts and ScienceDepartment of Mathematics and Computer Science, 2021)
    We investigate approximating the Dragon Boat Partition problem, a practical real-worldvariant of the Partition problem. A team of dragon boat participants must be partitionedwith an approximately balanced arrangement ...
  • Characterizing and classifying music genres and subgenres via association analysis 
    Lefaivre, Adam T.; University of Lethbridge. Faculty of Arts and Science (Lethbridge, Alta. : Universtiy of Lethbridge, Department of Mathematics and Computer ScienceArts and ScienceDepartment of Mathematics and Computer Science, 2019)
    In this thesis, we investigate the problem of automatic music genre classification in the field of Music Information Retrieval (MIR). MIR seeks to apply convenient automated solutions to many music-related tasks that are ...
  • Machine learning in the classification of computer code 
    Tasnim, Nazia; University of Lethbridge. Faculty of Arts and Science (Lethbridge, Alta. : University of Lethbridge, Dept. of Mathematics and Computer ScienceArts and ScienceDepartment of Mathematics and Computer Science, 2020)
    Machine learning approaches are a well-established method to analyze natural language. Sociolinguistic characteristics, such as the author's gender, experience, and age, have compelling effects on natural language use. ...