School of Computing

Machine Learning

5

Machine Learning

Machine learning is the science of getting computers to act without being explicitly programmed ( Stanford online course on Machine Learning, by Andrew Ng)

It  a scientific discipline that is concerned with the design and development of algorithms that allow computers to change behavior based on data, such as from sensor data or databases. A major focus of machine learning research is to automatically learn to recognize complex patterns and make intelligent decisions based on data (http://en.wikipedia.org/wiki/Machine_learning)

The group aims to do research in formal aspects of computer science, with the main focus being on Machine Learning.


Active members of this group:

  • van der Poel, Etienne
  • Halland, Ken
  • Thomas, Anitta

    • Publications

    This page is not necessarily up to date.

    JOURNAL PUBLICATION/S

    Mayayise, T.; OSUNMIO (2016)
    Intelligent Hybrid Security Model For A Safer Cloud-based E-commerce
    Kasmera Journal,
    (44) 1
    pp 322-342

    PILKICL; SANDEID (2016)
    Learners And Educators Perspective On The Value Of Web Design In The South African Grade 11 Computer Applications Technology Curriculum
    African Journal of Research in Mathematics, Science and Technology Education (AJRMSTE).
    (20) 3
    pp 267-277

    C. Matobobo; OSUNMIO (2016)
    Analytical Business Model For Sustainable Distributed Retail Enterprises In A Competitive Market
    Sustainability Journal, Special Issue in Sustainable Business Models
    (8) 2
    pp 140

    Makojoa, K.G.B.; OSUNMIO (2016)
    Assessing Distributed River Water Quality For Sustainable Water Consumption Using Ubiquitous Connective Particle Swarm Optimization
    Kasmera
    (44) 1
    pp 208-234

    PEER REVIEWED CONFERENCE PROCEEDING PUBLICATION/S

    Thomas, A; Gerber, AJ ; van der Merwe, A (2016)
    An Investigation Into Owl For Concrete Syntax Specification Using Uml Notations
    Diagrams 2016
    Pennsylvania, USA
    9783319423326/9783319423333, Springer
    pp 197-211

    Mtsweni J ; Ernest Ketcha Ngassam; Legand Burge III (2016)
    A Profile-aware Microtasking Approach For Improving Task Assignment In Crowdsourcing Services
    IST-AFRICA 2016
    Durban

    SANDEID; PILKICL; Alexander, PM (2016)
    The Impact Of Leadership, Trust And Time On Technology Choice By Virtual Teams
    SAICSIT 2016
    Johannesburg
    978-1-4503-4805-8
    pp Paper 36 - electronic proceedings

    Owoade, A.A.; OSUNMIO (2016)
    Resilience And Survivability Of Atm Node-node Network Failures Using Ant Colony Swarm Intelligent Modelling
    Proceedings of SAI Computing Conference
    London, United Kingdom
    978-1-4673-8460-5, IEEE
    pp 165-172

    T. Mayayise; OSUNMIO (2015)
    Robustness Of Computational Intelligent Assuarance Models When Assessing E-commerce Sites
    Proceedings of the Information Security for South Africa (ISSA 2015) Conference
    Gauteg, South Africa
    978-1-4799-7754-3/IEEE