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Skip to Search Results- 21Online learning
- 4Machine learning
- 3Learning theory
- 2Artificial Intelligence
- 2Machine Learning
- 2Reinforcement learning
- 2Bowling, Michael
- 1Bard, Nolan DC
- 1Bartók, Gábor
- 1Campbell, Katherine
- 1Chen, Zhaorui
- 1Dogru, Oguzhan
- 13Graduate and Postdoctoral Studies (GPS), Faculty of
- 13Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 6Communications and Technology Graduate Program
- 6Communications and Technology Graduate Program/Capping Projects (Communications and Technology)
- 3Computing Science, Department of
- 3Computing Science, Department of/Technical Reports (Computing Science)
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Spring 2014
The culture of the young may increasingly be seen as a harbinger enticing us to follow a pathway from which will emerge the re-conceptualized educational practices of a new century. This research set out to discover where the highways of the Internet would lead me, the researcher-practitioner, in...
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Spring 2017
Optimizing an objective function over convex sets is a key problem in many different machine learning models. One of the various kinds of well studied objective functions is the convex function, where any local minimum must be the global mini- mum over the domain. To find the optimal point that...
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2006
Pinheiro, Marise, Krupa, Eugene, Campbell, Katherine, Hirst, Sandra
In this study, the experiences of seven female health professionals learning online are examined and, in this context, the implications for online course designs and future research are discussed. The instruments of data collection include individual telephone interviews, journals written by the...
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Fall 2017
On the one hand, theoretical analyses of machine learning algorithms are typically performed based on various probabilistic assumptions about the data. While these probabilistic assumptions are important in the analyses, it is debatable whether such assumptions actually hold in practice. Another...
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Fall 2020
Learning online is essential for an agent to perform well in an ever-changing world. An agent has to learn online not only out of necessity --- a non-stationary world might render past learning useless --- but also because continual tracking in a temporally coherent world can result in better...
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2003-05-01
Promotional video for the MA in Communications and Technology (MACT) program in the Faculty of Extension. MACT was among the first online graduate degrees offered in Canada at the time it was launched in 2000. The year of the video is 2003. The MACT program moved to the Faculty of Arts in 2020.