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Skip to Search Results- 76Machine learning
- 11Online learning
- 5Artificial intelligence
- 5Reinforcement learning
- 3Data mining
- 3Game theory
- 2White, Martha
- 1Afaghi, Mohammad
- 1Ajallooeian, Mohammad Mahdi
- 1Alinezhad, Haniyeh Seyed
- 1Allen, Felicity R
- 1Araya, Ruben
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Spring 2011
Current statistics suggest women form the majority of online learners. Their enrollment levels may be a result of promotional materials suggesting online learning allows learners access to flexible learning opportunities that will complement their busy lives. This research questions those...
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Spring 2022
Two-thirds of the world population faces severe water stress at least once per month in a year. The rapidly growing population exacerbates freshwater scarcity. Additionally, climate change, pollution, and bio-energy demands amplify the water demand problem. Since a large percentage of freshwater...
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Spring 2024
Modern industries are increasingly embracing complex, large-scale processes with interconnected units for their economic benefits. The increasing scale of industrial processes and the complexity of unit interactions substantially complicate the development of advanced process control systems....
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Spring 2014
Each patient with Type-1 diabetes must decide how much insulin to inject before each meal to maintain an acceptable level of blood glucose. The actual injection dose is based on a formula that takes current blood glucose level and the meal size into consideration. While following this insulin...
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Motivation and the information behaviours of online learning students: the case of a professionally-oriented, graduate program
DownloadFall 2010
Online learning is a wonderful opportunity for students who cannot attend classes at conventional times and places to further their education. However, to some extent, accessing and sharing information is often quite different and potentially more difficult for this particular group (e.g., they...
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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...
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Fall 2016
In an online learning problem a player makes decisions in a sequential manner. In each round, the player receives some reward that depends on his action and an outcome generated by the environment while some feedback information about the outcome is revealed. The goal of the player can be...
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Spring 2022
In this dissertation, we study online off-policy temporal-difference learning algorithms, a class of reinforcement learning algorithms that can learn predictions in an efficient and scalable manner. The contributions of this dissertation are one of the two kinds: (1) empirically studying existing...
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Optimal Mechanisms for Machine Learning: A Game-Theoretic Approach to Designing Machine Learning Competitions
DownloadSpring 2013
In this thesis we consider problems where a self-interested entity, called the principal, has private access to some data that she wishes to use to solve a prediction problem by outsourcing the development of the predictor to some other parties. Assuming the principal, who needs the machine...
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Fall 2014
In the face of an overwhelmingly information intensive Internet, searching has become the most important way to locate information efficiently. Current searching techniques are able to retrieve relevant data, however, personalization techniques are still needed to better identify different user...