Browsing RISTCON 2020 by Subject "Machine learning"

Browsing RISTCON 2020 by Subject "Machine learning"

Sort by: Order: Results:

  • A classifier ensemble model for music emotion classification 
    Charles, J.; Lekamge, L.S. (Faculty of Science, University of Ruhuna, Matara, Sri Lanka, 2020-01-22)
    Computational modelling of music-emotion has attracted an increasing attention especially in today’s digital age. Even though the use of conventional machine learning algorithms for music-emotion classification are frequently ...
  • Customer churn prediction model in mobile telecommunication using machine learning 
    Chathuranga, L.L.G.; Rathnayaka, R.M.; Arumawadu, H.I.; Chathurangi, K.A.A. (Faculty of Science, University of Ruhuna, Matara, Sri Lanka, 2020-01-22)
    Customers are the center of all focuses on almost every industry that offers products and services. Successful business practitioners are those who understand their customers and fulfill their needs. For that, customer ...
  • Gender, race and religion prediction of Sri Lankan personal names using machine learning techniques 
    Chathuranga, P.D.T.; Loresnsuhewa, S.A.S.; Kalyani, M.A.L. (Faculty of Science, University of Ruhuna, Matara, Sri Lanka, 2020-01-22)
    Prediction of identification details such as gender, race and religion of a person can help natural language processing related tasks to perform better. Also it can be used to speed up the existing digital application ...

Search DSpace


Advanced Search

Browse

My Account