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    • Advances in random forests with application to classification 

      Pretorius, Arnu (Stellenbosch : Stellenbosch University, 2016-12)
      ENGLISH SUMMARY : Since their introduction, random forests have successfully been employed in a vast array of application areas. Fairly recently, a number of algorithms that adhere to Leo Breiman’s definition of a random ...

    • Deep learning for tabular data : an exploratory study 

      Marais, Jan Andre (Stellenbosch : Stellenbosch University, 2019-04)
      ENGLISH SUMMARY : From about 2006, deep learning has proven to be very successul in application areas such as computer vision, natural language processing, speech and audio recognition, machine translation, bioinformatics, ...

    • Discriminant analysis using sparse graphical models 

      Botha, Dylon (Stellenbosch : Stellenbosch University, 2020-03)
      ENGLISH SUMMARY : The objective of this thesis is the proposal of a new classification method. This classification method is an extension of classical quadratic discriminant analysis (QDA), where the focus is placed on ...

    • Recommender systems 

      Dumbleton, Bronwyn Catherine (Stellenbosch : Stellenbosch University, 2019-12)
      ENGLISH ABSTRACT: A Recommender System (RS) is a particular type of information filtering system used to propose relevant items to users. Their successful application in online retail is reflected in increased customer ...