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Browsing 2016 by Subject "Machine Learning"

Browsing 2016 by Subject "Machine Learning"

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  • Perera, M. V. (2016)
    Assistive software such as screen readers are unable to describe images or videos for visually impaired people. Although recent research have found ways to automatically describe images, automatically describing the ...
  • Jayatilaka, H. G. E. S. (2016)
    In traditional learning, teachers provide individual feedback and recommend LM to improve the students’ knowledge and to motivate, based on the skills and personality of the student. But in e-learning, there is no role ...

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