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- 10Machine learning
- 3Freedom of information
- 3Natural language processing
- 2Accessibility
- 2Artifice
- 4UNESCO Information For All Programme (IFAP)
- 3Noonari, Juned (Supervisor)
- 2Barker, Thomas (Supervisor)
- 1Ali Shiri
- 1Allen, Timothy Karl van.
- 1Alsakka, Fatima
- 27Graduate and Postdoctoral Studies (GPS), Faculty of
- 27Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 4Master of Science in Internetworking (MINT)
- 4Master of Science in Internetworking (MINT)/Capstone Projects & Reports (Master of Science in Internetworking (MINT))
- 4Information for All Programme (IFAP)
- 4Information for All Programme (IFAP)/Conference Reports
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Spring 2015
Sampling from a given probability distribution is a key problem in many different disciplines. Markov chain Monte Carlo (MCMC) algorithms approach this problem by constructing a random walk governed by a specially constructed transition probability distribution. As the random walk progresses, the...
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Fall 2016
Real-time strategy (RTS) video games are known for being one of the most complex and strategic games for humans to play. With a unique combination of strategic thinking and dexterous mouse movements, RTS games make for a very intense and exciting game-play experience. In recent years the games AI...
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2022-01-24
Tiruneh, Getaneh Gezahegne, Fayek, Aminah Robinson
The majority of competency and performance modeling methods available in the literature are deterministic conceptual, statistical,and/or regression models that cannot capture the subjective uncertainty, complex, and nonlinear relationships inherent in construction, whichmakes accurate prediction...
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2022-04-03
Abstract: In recent years, the number of IoT devices has increased exponentially, evolving in virtually every domain, making businesses smarter and more efficient. This project will oversee various applications and use cases of IoT in enterprises and its evolution by aspects of Artificial...
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Spring 2016
Ideal agent behaviour in multiagent environments depends on the behaviour of other agents. Consequently, acting to maximize utility is challenging since an agent must gather and exploit knowledge about how the other (potentially adaptive) agents behave. In this thesis, we investigate how an...