Browsing Ph.D. Theses by Subject "Learning."

Sort by: Order: Results:

  • Distance-based learning approaches for multiple instance learning 
    Sivrikaya, Özgür Emre. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Multiple Instance Learning (MIL) is a weakly supervised approach that focuses on the labeling of a set of instances (i.e. bags) where the label information of in dividual instances is generally unknown. Many of the earlier ...
  • Mathematical programming and statistical learning approaches for multiple instance learning 
    Lök, Emel Şeyma. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2018., 2018.)
    Many real-world applications of classification require flexibility in representing complex objects to preserve the relevant information for class separation. Multiple instance learning (MIL) aims to solve classification problem ...

Search Digital Archive


Browse

My Account