Theses and Dissertations
This collection contains theses and dissertations of graduate students of the University of Alberta. The collection contains a very large number of theses electronically available that were granted from 1947 to 2009, 90% of theses granted from 2009-2014, and 100% of theses granted from April 2014 to the present (as long as the theses are not under temporary embargo by agreement with the Faculty of Graduate and Postdoctoral Studies). IMPORTANT NOTE: To conduct a comprehensive search of all UofA theses granted and in University of Alberta Libraries collections, search the library catalogue at www.library.ualberta.ca - you may search by Author, Title, Keyword, or search by Department.
To retrieve all theses and dissertations associated with a specific department from the library catalogue, choose 'Advanced' and keyword search "university of alberta dept of english" OR "university of alberta department of english" (for example). Past graduates who wish to have their thesis or dissertation added to this collection can contact us at erahelp@ualberta.ca.
Items in this Collection
- 2Abdi Oskouie, Mina
- 2Birkbeck, Neil Aylon Charles
- 2Cai, Zhipeng
- 2Chen, Jiyang
- 2Chowdhury, Md Solimul
- 2Chubak, Pirooz
- 74Machine Learning
- 70Reinforcement Learning
- 41Artificial Intelligence
- 36Machine learning
- 22Natural Language Processing
- 22Reinforcement learning
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Opportunities and Limitations of Using Melting Curve Dissimilarity to Determine Protein Interactions
DownloadFall 2022
Proteins are large biomolecules that perform many functions within an organism. Proteins frequently form interactions with other biomolecules. A group of proteins held together by interactions is known as a protein complex. Protein interactions are essential to many biological processes. Thus,...
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Fall 2019
We present two provably optimal differentially private algorithms for the stochastic multi-arm bandit problem, as opposed to the private analogue of the UCB-algorithm (Mishra and Thakurta 2015; Tossou and Dimitrakakis 2016) which doesn’t meet the recently discovered lower-bound of Ω( K log(T) /...
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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 2012
In this thesis different aspects of stereo-based 3D reconstruction and 3D visualization and manipulation are investigated. The focus of this research is specifically on sampled object representations (SOR) in which the object(s) is (are) shown using a collection of samples such as discrete...
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Spring 2015
Rayner, David Christopher Ferguson
Heuristic search is a central problem in artificial intelligence. Among its defining properties is the use of a heuristic, a scalar function mapping pairs of states to an estimate of the actual distance between them. Accurate heuristics are generally correlated with faster query resolution and...
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Fall 2014
We develop an approach for optimizing Hidden Markov model representations of voltage-gated ion channels that addresses the issues of topology determination and poorly performing optimization algorithms. Developing accurate models of neurological processes is a major goal of computational...
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Optimization of Vector Instructions in Divergent Control Flow on Long-Vector Architectures using Active-Lane Consolidation
DownloadFall 2021
IF-conversion is a classic Control-Flow Graph (CFG) transformation that linearizes the basic blocks in a loop and assigns a predicate to them to enable or disable execution. IF-conversion is performed before vectorization where scalar statements are translated into vector statements to enable the...
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Spring 2021
In batch policy evaluation the goal is to predict the value of a policy given some historical data. A specific example, which motivated the approach pursued in this thesis, is to predict the probability of putting a natural wildfire out given some specific configuration of dispatched resources,...
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Fall 2018
The left ventricle segmentation is an important medical imaging task necessary to measure a patient's heart pumping efficiency. Recently, convolutional neural networks (CNN) have shown great potential in achieving state-of-the-art segmentation for such applications. However, most of the research...